Relevant bibliographies by topics / WCE images

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'WCE images'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "WCE images"

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Faghih Dinevari, Vahid, Ghader Karimian Khosroshahi, and Mina Zolfy Lighvan. "Singular Value Decomposition Based Features for Automatic Tumor Detection in Wireless Capsule Endoscopy Images." Applied Bionics and Biomechanics 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3678913.

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Wireless capsule endoscopy (WCE) is a new noninvasive instrument which allows direct observation of the gastrointestinal tract to diagnose its relative diseases. Because of the large number of images obtained from the capsule endoscopy per patient, doctors need too much time to investigate all of them. So, it would be worthwhile to design a system for detecting diseases automatically. In this paper, a new method is presented for automatic detection of tumors in the WCE images. This method will utilize the advantages of the discrete wavelet transform (DWT) and singular value decomposition (SVD)
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Ahmad, Bilal, Pål Anders Floor, Ivar Farup, and Casper Find Andersen. "Single-Image-Based 3D Reconstruction of Endoscopic Images." Journal of Imaging 10, no. 4 (2024): 82. http://dx.doi.org/10.3390/jimaging10040082.

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A wireless capsule endoscope (WCE) is a medical device designed for the examination of the human gastrointestinal (GI) tract. Three-dimensional models based on WCE images can assist in diagnostics by effectively detecting pathology. These 3D models provide gastroenterologists with improved visualization, particularly in areas of specific interest. However, the constraints of WCE, such as lack of controllability, and requiring expensive equipment for operation, which is often unavailable, pose significant challenges when it comes to conducting comprehensive experiments aimed at evaluating the q
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Nouman Noor, Muhammad, Muhammad Nazir, Sajid Ali Khan, Oh-Young Song, and Imran Ashraf. "Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network." Electronics 12, no. 7 (2023): 1557. http://dx.doi.org/10.3390/electronics12071557.

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Gastrointestinal (GI) tract diseases are on the rise in the world. These diseases can have fatal consequences if not diagnosed in the initial stages. WCE (wireless capsule endoscopy) is the advanced technology used to inspect gastrointestinal diseases such as ulcerative-colitis, polyps, esophagitis, and ulcers. WCE produces thousands of frames for a single patient’s procedure for which manual examination is tiresome, time-consuming, and prone to error; therefore, an automated procedure is needed. WCE images suffer from low contrast which increases inter-class and intra-class similarity and red
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Pan, Guo Bing, Fang Xu, and Jiao Liao Chen. "Bleeding Detection in Wireless Capsule Endoscopy Using Color Similarity Coefficient." Applied Mechanics and Materials 195-196 (August 2012): 307–12. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.307.

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Wireless Capsule Endoscopy (WCE) generates a large number of images in one examination of a patient. It is very laborious and time-consuming to detect the WCE video, and limits the wider application of WCE. It is urgent and necessary to develop an automatic and intelligent computer aided bleeding detection technique. This paper proposes the color vector similarity coefficients to measure the color similarity, and based on which, a novel algorithm is implemented to recognize the bleeding in WCE images. The novel algorithm is implemented in RGB color space, and is featured with simple computatio
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Zhang, Shaojie, Yinghui Wang, Peixuan Liu, et al. "Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity." Mathematics 12, no. 21 (2024): 3317. http://dx.doi.org/10.3390/math12213317.

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Wireless capsule endoscopy (WCE) has become an important tool for gastrointestinal examination due to its non-invasive nature and minimal patient discomfort. However, the quality of WCE images is often limited by built-in lighting and the complex gastrointestinal environment, particularly in the region filled with small intestinal villi. Additionally, the morphology of these villi usually serves as a crucial indicator for related diseases. To address this, we propose a novel method to enhance the clarity of small intestinal villi in WCE images. Our method uses a guided filter to separate the l
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Vasilakakis, Michael D., Dimitris K. Iakovidis, Evaggelos Spyrou, and Anastasios Koulaouzidis. "DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy." Computational and Mathematical Methods in Medicine 2018 (September 3, 2018): 1–11. http://dx.doi.org/10.1155/2018/2026962.

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Wireless Capsule Endoscopy (WCE) is a noninvasive diagnostic technique enabling the inspection of the whole gastrointestinal (GI) tract by capturing and wirelessly transmitting thousands of color images. Proprietary software “stitches” the images into videos for examination by accredited readers. However, the videos produced are of large length and consequently the reading task becomes harder and more prone to human errors. Automating the WCE reading process could contribute in both the reduction of the examination time and the improvement of its diagnostic accuracy. In this paper, we present
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Meziou, L., A. Histace, F. Precioso, et al. "Computer-Assisted Segmentation of Videocapsule Images Using Alpha-Divergence-Based Active Contour in the Framework of Intestinal Pathologies Detection." International Journal of Biomedical Imaging 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/428583.

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Visualization of the entire length of the gastrointestinal tract through natural orifices is a challenge for endoscopists. Videoendoscopy is currently the “gold standard” technique for diagnosis of different pathologies of the intestinal tract. Wireless capsule endoscopy (WCE) has been developed in the 1990s as an alternative to videoendoscopy to allow direct examination of the gastrointestinal tract without any need for sedation. Nevertheless, the systematic postexamination by the specialist of the 50,000 (for the small bowel) to 150,000 images (for the colon) of a complete acquisition using
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Kundu, Amit Kumar, Shaikh Anowarul Fattah, and Mamshad Nayeem Rizve. "An Automatic Bleeding Frame and Region Detection Scheme for Wireless Capsule Endoscopy Videos Based on Interplane Intensity Variation Profile in Normalized RGB Color Space." Journal of Healthcare Engineering 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/9423062.

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Wireless capsule endoscopy (WCE) is an effective video technology to diagnose gastrointestinal (GI) disease, such as bleeding. In order to avoid conventional tedious and risky manual review process of long duration WCE videos, automatic bleeding detection schemes are getting importance. In this paper, to investigate bleeding, the analysis of WCE images is carried out in normalized RGB color space as human perception of bleeding is associated with different shades of red. In the proposed method, at first, from the WCE image frame, an efficient region of interest (ROI) is extracted based on inte
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Alaskar, Haya, Abir Hussain, Nourah Al-Aseem, Panos Liatsis, and Dhiya Al-Jumeily. "Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images." Sensors 19, no. 6 (2019): 1265. http://dx.doi.org/10.3390/s19061265.

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Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typically, these images suffer from low contrast, complex background, variations in lesion shape and color, which affect the accuracy of their segmentation and subsequent classification. This research proposes an automated system for detection and classification of ulcers in WCE images, based on state-of-the-art deep learning networks. Deep learning techniques, and in particular, convolutional neural networks (CNNs), have recently become popular in the analysis and recognition of medical images. The me
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Rathnamala, Dr S., Aghila Rajagopal, M. Arunachalam, and V. Dhanasekaran. "GI Bleeding Detection in WCE Images Using E-ORB and ME-DEEP CAPSNET." International Journal of Environmental Sciences 11, no. 7s (2025): 147–60. https://doi.org/10.64252/358k2389.

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Wireless Capsule Endoscopy (WCE) is utilized in the detection of several anomalies like bleeding, ulcers, polyps, and tumors in the gastrointestinal (GI) tract. As a huge number of images are produced by WCE, the manual examination becomes much more tedious, time-consuming, and furthermore increasing the possibility of human errors. Therefore, a new automated scheme to detect bleeding region in WCE images by means of deep learning technique is proposed in this approach. Initially, the WCE input images are pre-processed by means of distribution linearization and linear filtering. An Adaptive de
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Dissertations / Theses on the topic "WCE images"

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Oyarce, Sara. "In Pursuit of Image: How We Think About Photographs We Seek." Thesis, University of North Texas, 2012. https://digital.library.unt.edu/ark:/67531/metadc115133/.

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The user perspective of image search remains poorly understood. the purpose of this study is to identify and investigate the key issues relevant to a user’s interaction with images and the user’s approach to image search. a deeper understanding of these issues will serve to inform the design of image retrieval systems and in turn better serve the user. Previous research explores areas of information seeking behavior, representation in information science, query formulation, and image retrieval. the theoretical framework for this study includes an articulation of image search scenarios as adapt
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Purkis, Helena Margaret. "Why do we fear what we fear? evidence for a learning based account of stimulus fear relevance /." [St. Lucia, Qld.], 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17989.pdf.

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Kümmerer, Matthias [Verfasser]. "How well can we predict where people look in images? / Matthias Kümmerer." Tübingen : Universitätsbibliothek Tübingen, 2020. http://d-nb.info/1215569327/34.

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Swiantek, Kirk M. "Stock in-transit : why we have it, why it matters." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02Jun%5FSwiantek.pdf.

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Clements, Natalie. "The profession of profiling : are we there yet? /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16768.pdf.

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Mollo, Lekoa S. "Negotiating for civilian control : strategy and tactics of Umkhonot we Sizwe (MK) in the democratic transition of South Africa /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://library.nps.navy.mil/uhtbin/hyperion-image/00Jun%5FMollo.pdf.

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Thesis (M.A. in International Security and Civil-Military Relations)--Naval Postgraduate School, June 2000.<br>Thesis advisor(s): Paul Stockton, Letitia Lawson. Includes bibliographical references. Also available online.
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Matei, Hanna. ""We agree to disagree" : a Study of Ghanaian University Students' National Self-Images." Thesis, Södertörns högskola, Institutionen för samhällsvetenskaper, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-13436.

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This thesis is based on a field study conducted in Ghana's capital Accra between September and November 2010 where data, in the form of inter alia interviews with Ghanaian university students, was collected. The underlying aim for the study is to gain a deeper understanding for the many times troublesome nation-building process in the African context. The thesis' objective then is to gain a deeper understanding of a part of the "successful" Ghanaian nation-building process and the national identification in Ghana via the concept of national self-images: the affective and cognitive views of the
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Jones, Christopher C. ""We Latter-day Saints are Methodists" : the influence of Methodism on early Mormon religiosity /." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3005.pdf.

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Johnson, Nathan. "Interrupting mental rotation : what we know when /." Electronic version (PDF), 2003. http://dl.uncw.edu/etd/2003/johnsonn/natejohnson.pdf.

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Mialdun-Silickienė, Joanna. "Obraz miasta we współczesnej polskiej poezji Wileńszczyzny." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_165947-91509.

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W swojej pracy magisterskiej "Obraz miasta we współczesnej polskiej poezji Wileńszczyzny" analizowałam wileńską współczesną poezję z lat 1985 - 2006. Celem pracy była analiza tych wierszy, w których pojawia się obraz miasta. Po przeglądzie i interpretacjach utworów wyłonił się obraz miast. Ponieważ różni pisarze różnych epok dość często odwoływali się do tego motywu, więc i moje refleksje też nie odbiegają od tradycji. Analizowane utwory są porównywane przede wszystkim z poezją regionalistów ( 1918 - 1939r.), gdyż właśnie wtedy pojawia się tendencja opisywać Wilno. Podobnie i współcześni poeci
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Books on the topic "WCE images"

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Ng, Jenna. The Post-Screen Through Virtual Reality, Holograms and Light Projections. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463723541.

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Screens are ubiquitous today. They display information; present image worlds; are portable; connect to mobile networks; mesmerize. However, contemporary screen media also seek to eliminate the presence of the screen and the visibilities of its boundaries. As what is image becomes increasingly indistinguishable against the viewer’s actual surroundings, this unsettling prompts re-examination about not only what is the screen, but also how the screen demarcates and what it stands for in relation to our understanding of our realities in, outside and against images. Through case studies drawn from
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Nony, Anaïs. Performative Images. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463722827.

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Performative Images draws upon the work of video artists and activists in France between the 1970s and the early 2020s and focuses on significant practices with technology. Video art and video activism are analysed together in the book to revaluate key concepts in media studies and foreground a performative approach to the theory of image technology. The book engages works in visual culture, performance studies, digital studies, critical race theory, and feminist methodologies to account for the changes brought about by video technology in social and psychic life. Performative Images is about
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Kyŏng, Chin-ju. Modŭn mom ŭl wihan chonjung oemo wae mwŏ. Puk Sensŭ, 2008.

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Siewert, Senta. Performing Moving Images. Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789462985834.

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Performing Moving Images: Access, Archive and Affects presents institutions, individuals and networks who have ensured experimental films and Expanded Cinema of the 1960s and 1970s are not consigned to oblivion. Through a comparison of recent international case studies from festivals, museums, and gallery spaces, the book analyzes their new contexts, and describes the affective reception of those events. The study asks: what is the relationship between an aesthetic experience and memory at the point where film archives, cinema, and exhibition practices intersect? What can we learn from re-scre
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Schneider, Florian. Studying Political Communication and Media in East Asia. Amsterdam University Press, 2025. https://doi.org/10.5117/9789048564453.

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Communication is at the heart of politics, and certainly in East Asia, where vibrant media systems and cultural industries connect with political processes that range from the democratic to autocratic. If we are to understand East Asian societies, and 21st-century politics more broadly, we need to take media and communication seriously. This textbook provides a flexible toolbox of methods and theories for studying political communication. Taking its examples and exercises from Japan, Korea, and the Chinese-speaking world, it walks readers through core issues, media contents, and communicative
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Thomson-Jones, Katherine. Image in the Making. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197567616.001.0001.

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Human beings have always made images, and to do so they have developed and refined an enormous range of artistic tools and materials. With the development of digital technology, the ways of making images—whether they are still or moving, 2D or 3D—have evolved at an unprecedented rate. At every stage of image making, artists now face a choice between using analog and using digital tools. Yet a digital image need not look digital; and likewise, a handmade image or traditional photograph need not look analog. If we do not see the artist’s choice between the analog and the digital, what difference
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Nail, Thomas. Theory of the Image. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190924034.001.0001.

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We live in the age of the mobile image. Our world is now saturated with moving images of all kinds, both analog and digital. This sea change in image production and circulation is nothing less than the Copernican revolution of our time. The centrality of the movement and mobility of the image has never been more dramatic. And just like the Copernican revolution, the aesthetic revolution of the image has consequences not only for the way we think about the contemporary image but also the way we think about all previous images. Theory of the Image offers a new and systematic philosophy of art an
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Metcalf, Michael, John Reid, and Malcolm Cohen. Coarrays. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198811893.003.0017.

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We describe the coarray programming model, which provides a simple syntactic extension from the point of view of both work distribution and data distribution. For work distribution, it adopts the single program multiple data (SPMD) programming model, with multiple ‘images’ (usually processes) executing identical programs. For data distribution it allows each image to access data on another image with coarray syntax that is similar to Fortran array syntax. The programmer is responsible for subdividing the executions on the images into segments within each of which the compiler is free to use it
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Appleton, Naomi, ed. Narrative Visions and Visual Narratives in Indian Buddhism. Equinox Publishing Ltd., 2022. http://dx.doi.org/10.1558/isbn.9781800501300.

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This volume explores the interaction between text and image in Indian Buddhist contexts, including not only the complex relationship between verbal stories and visual representations at Indian sites, but also the ways in which visual imagery is used within textual narratives. The chapters are authored by a mixture of textual scholars and art historians, bringing together different disciplinary perspectives in order to seek a richer understanding of how text and art relate, and of the role of narrative imagery in different media and contexts. The book opens with an introduction that explores wh
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Munson, Marit K., and Kelley Hays-Gilpin. Iconography. Edited by Barbara Mills and Severin Fowles. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199978427.013.35.

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Images from archaeological sites are often engaging, sometimes mysterious, and always seem full of potential for insight into the lives and thoughts of people from the past. Unfortunately, most research into archaeological images relies on a narrow range of art historical methods and on parallels with ethnographic information. These approaches are valuable, but unnecessarily limited. In this chapter, we encourage researchers to expand their understanding of images, exploring how perceptual and social theories of pictures shape our understanding of meaning and discussing the benefits and drawba
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Book chapters on the topic "WCE images"

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Drozdzal, Michal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, and Petia Radeva. "Interactive Labeling of WCE Images." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_18.

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Divekar, Atharva, Atharva Sonwane, Arkay Swami, and Smita Bhagwat. "Detection of Gastrointestinal Bleeding in WCE Images Using YOLOv5." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8160-7_35.

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Suman, Shipra, Fawnizu Azmadi Hussin, Aamir Saeed Malik, et al. "Image Enhancement Using Geometric Mean Filter and Gamma Correction for WCE Images." In Neural Information Processing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12643-2_34.

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Bandopadhyay, Srijita, Joydeep Roy Chowdhury, Rahul Shaw, Swarna Paul, and Soumen Banerjee. "Vision Transformer-Based Classification of Gastrointestinal Ulcers Using WCE Images." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8090-7_27.

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Szczypiński, Piotr, Artur Klepaczko, and Michał Strzelecki. "An Intelligent Automated Recognition System of Abnormal Structures in WCE Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21219-2_19.

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Szczypiński, Piotr, and Artur Klepaczko. "Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16295-4_30.

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Jain, Samir, Ayan Seal, and Aparajita Ojha. "Localization of Polyps in WCE Images Using Deep Learning Segmentation Methods: A Comparative Study." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11346-8_46.

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El Khalfaoui, Yasmina, Brahim Alibouch, and Ahmed Fouad El Ouafdi. "Gastro-CNN-VIT: Vision Transformer and Deep CNNs for Detecting GI Diseases in WCE Images." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70411-6_21.

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Oukdach, Yassine, Zakaria Kerkaou, Mohamed El Ansari, Lahcen Koutti, and Ahmed Fouad El Ouafdi. "A deep learning (DL) framework for gastrointestinal (GI) abnormality classification and localization within WCE images." In Smart Applications of Artificial Intelligence and Big Data. CRC Press, 2025. https://doi.org/10.1201/9781032664293-3.

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Garbaz, Anass, Said Charfi, Mohamed El Ansari, and Lahcen Koutti. "Classification of gastrointestinal (GI) bleeding in WCE images based on fusing a stabilizing block with Xception." In Smart Applications of Artificial Intelligence and Big Data. CRC Press, 2025. https://doi.org/10.1201/9781032664293-8.

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Conference papers on the topic "WCE images"

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Usha S, Gandhimathi alias, Uma Maheswari P, Rajpriya V R, Subashree T U, and Dharshana S. "Transfer Learning Based Gastrointestinal Disease Classification Using WCE Images." In 2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET). IEEE, 2025. https://doi.org/10.1109/wispnet64060.2025.11005256.

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Malathkar, Nithin Varma, and Surender Kumar Soni. "SWT based Resolution Enhancement Technique for WCE Images." In 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON). IEEE, 2019. http://dx.doi.org/10.1109/iemeconx.2019.8877002.

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Shen, Zixin, Yue Ma, Jinhui Zhu, et al. "Locality-Constrained Dictionary Learning Classification Method of WCE Images." In 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020. http://dx.doi.org/10.1109/ddcls49620.2020.9275153.

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Gallo, Giovanni, and Eliana Granata. "LBP based detection of intestinal motility in WCE images." In SPIE Medical Imaging, edited by Norbert J. Pelc, Ehsan Samei, and Robert M. Nishikawa. SPIE, 2011. http://dx.doi.org/10.1117/12.877526.

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Yichen Fan and Max Q. H. Meng. "3D reconstruction of the WCE images by affine SIFT method." In 2011 9th World Congress on Intelligent Control and Automation (WCICA 2011). IEEE, 2011. http://dx.doi.org/10.1109/wcica.2011.5970655.

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Bouyaya, Dallel, and Said Benierbah. "Abnormalities Classification in WCE Images Using Pretrained Deep Learning Networks." In 2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE, 2022. http://dx.doi.org/10.1109/pais56586.2022.9946892.

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Dimas, George, Dimitris Iakovidis, and Anastasios Koulaouzidis. "MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder." In 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2019. http://dx.doi.org/10.1109/bibe.2019.00071.

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Yu, Min, Sheng Li, Fengling Hu, et al. "Automatic Classification Based on Features Fusion for Upper Gastrointestinal WCE Images." In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2019. http://dx.doi.org/10.1109/ddcls.2019.8908920.

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Bella, Faiza, Ali Berrichi, and Abdelouahab Moussaoui. "Vision Transformer Model for Gastrointestinal Tract Diseases Classification from WCE Images." In 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA). IEEE, 2024. http://dx.doi.org/10.1109/ispa59904.2024.10536754.

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Suman, Shipra, Fawnizu Azmadi B. hussin, Aamir Saeed Malik, et al. "Detection and Classification of Bleeding Region in WCE Images using Color Feature." In CBMI '17: International Workshop on Content-Based Multimedia Indexing. ACM, 2017. http://dx.doi.org/10.1145/3095713.3095731.

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Reports on the topic "WCE images"

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we dev
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Gantzer, Clark J., Shmuel Assouline, and Stephen H. Anderson. Synchrotron CMT-measured soil physical properties influenced by soil compaction. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7587242.bard.

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Methods to quantify soil conditions of pore connectivity, tortuosity, and pore size as altered by compaction were done. Air-dry soil cores were scanned at the GeoSoilEnviroCARS sector at the Advanced Photon Source for x-ray computed microtomography of the Argonne facility. Data was collected on the APS bending magnet Sector 13. Soil sample cores 5- by 5-mm were studied. Skeletonization algorithms in the 3DMA-Rock software of Lindquist et al. were used to extract pore structure. We have numerically investigated the spatial distribution for 6 geometrical characteristics of the pore structure of
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Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

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Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s
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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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Lasko, Kristofer, and Sean Griffin. Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40262.

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Monitoring the impacts of ecosystem restoration strategies requires both short-term and long-term land surface monitoring. The combined use of unmanned aerial systems (UAS) and satellite imagery enable effective landscape and natural resource management. However, processing, analyzing, and creating derivative imagery products can be time consuming, manually intensive, and cost prohibitive. In order to provide fast, accurate, and standardized UAS and satellite imagery processing, we have developed a suite of easy-to-use tools integrated into the graphical user interface (GUI) of ArcMap and ArcG
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Bragdon, Sophia, Vuong Truong, and Jay Clausen. Environmentally informed buried object recognition. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45902.

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The ability to detect and classify buried objects using thermal infrared imaging is affected by the environmental conditions at the time of imaging, which leads to an inconsistent probability of detection. For example, periods of dense overcast or recent precipitation events result in the suppression of the soil temperature difference between the buried object and soil, thus preventing detection. This work introduces an environmentally informed framework to reduce the false alarm rate in the classification of regions of interest (ROIs) in thermal IR images containing buried objects. Using a da
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Harrison, Ian J., Ned Horning, K. Koy, P. McPhearson, and Osman Wallace. An Introduction to Remote Sensing. American Museum of Natural History, 2008. http://dx.doi.org/10.5531/cbc.ncep.0174.

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Remote sensing is a technology for sampling reflected and emitted electromagnetic radiation of features on the Earth's land surface, oceans, and atmosphere. In this module, we exclude such techniques as sonar, geomagnetic and seismic sounding, as well as medical imaging, but include a wide set of techniques often known by the alternative name of Earth Observation (EO). The main objective of this module is to introduce the basic concepts of remote sensing science, focusing on the practical aspects of accessing, visualizing, and processing remotely-sensed data. Information here is targeted towar
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Sharpe, D. R., G. Leduc, C. S. Smart, and J. Shaw. Georgian Bay bedrock erosion: evidence for regional floods, Ontario. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331409.

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We provide an updated presentation of the spectacular erosion forms at French River Ontario (Kor et al. 1991) based on new methods of data collection and wider observations. This work includes ~ 10 more detailed study sites, documentation of the range of forms over a larger area, the use of extensive drone image capture and ground surveys, as well as a detailed inventory of forms. Key sites are illustrated using video images. The update extends the conclusions of the Kor paper regarding the significance and scale of subglacial meltwater erosion with some novel findings. We document the importa
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