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Journal articles on the topic 'Multimodality images'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Vannier, M. W., and D. E. Gayou. "Automated registration of multimodality images." Radiology 169, no. 3 (1988): 860–61. http://dx.doi.org/10.1148/radiology.169.3.3263667.

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Moshfeghi, Mehran. "Elastic matching of multimodality medical images." CVGIP: Graphical Models and Image Processing 53, no. 3 (1991): 271–82. http://dx.doi.org/10.1016/1049-9652(91)90049-p.

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Nemkina, Nikol Igorevna. "The multimodality of Chinese folklore images." Litera, no. 6 (June 2024): 68–78. http://dx.doi.org/10.25136/2409-8698.2024.6.70957.

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This scientific article examines the phenomenon of multimodality based on the material of Chinese folklore images. The object of the research is the images of fictional characters of Chinese folklore works, and the subject is the analysis of images of Chinese folklore works in their multimodal expression in modern adaptations. The purpose of the study is to show how modern discursive practices, characterized by a high degree of multimodality, affect the development of the concept of the image of a folklore work in the recipient's mind. The tasks that were solved within the framework of this st

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Rahmanu, I. Wayan Eka Dian, Ida Bagus Artha Adnyana, I. Putu Yoga Laksana, I. Gusti Putu Sutarma, Ni Putu Somawati, and I. Made Riyan Adi Nugroho. "Investigating the Implementation of Multimodality and Spherical Video-Based Immersive Virtual Reality in the Indonesian Language for Foreign Speakers’ Learning Materials." Theory and Practice in Language Studies 13, no. 7 (2023): 1760–68. http://dx.doi.org/10.17507/tpls.1307.20.

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Experts have developed multimodality and spherical video-based immersive virtual reality (SV-IVR) for language learning to escalate learners’ cognition. However, neither experts nor teachers have explored and optimised the use of multimodality and SV-IVR in the Indonesian Language for Foreign Speakers (BIPA) learning materials. This study investigates foreign learners’ perception of multimodality and SV-IVR immersion in BIPA programme. The total sample involved in this study was 20 people from Europe, Asia, and the US. The results reveal that multimodality including utilisation of text, audio,

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van den Elsen, Petra A., J. B. Antoine Maintz, and Max A. Viergever. "Geometry driven multimodality matching of brain images." Brain Topography 5, no. 2 (1992): 153–57. http://dx.doi.org/10.1007/bf01129043.

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Nor, Hidayah, and Amaliya Septiani. "Enhancing Reading Instruction through Multimodality: A Pathway to Success." TEFLA Journal (Teaching English as Foreign Language and Applied Linguistic Journal) 5, no. 1 (2023): 8–16. http://dx.doi.org/10.35747/tefla.v5i1.649.

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This qualitative study investigates the use of multimodality in teaching reading to junior high school students at SMPN 1 Pulau Laut Tengah Kotabaru. Multimodality refers to the integration of various modes, such as images, sound, and writing, to convey meaning and enhance the learning process. The research involves one English teachers and 24 eighth-grade students as participants. The researchers used Descriptive qualitative as the research methods. In addition, observation, interviews, and documentation were utilized as data collection instruments. The findings reveal that teachers frequentl

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Campbell, Michael J., Andrew J. Lodge, and Stephen G. Miller. "Traumatic Gerbode ventricular septal defect and third-degree heart block." Cardiology in the Young 27, no. 2 (2016): 404–6. http://dx.doi.org/10.1017/s1047951116001359.

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AbstractWe present an interesting and rare case of traumatic Gerbode ventricular septal defect and complete heart block. The multimodality images illustrate the diagnosis well. This case is an excellent demonstration of the diagnostic utility of multimodality imaging.

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Xu, Yuanzhi, Jiahua Ni, Yunke Bi, et al. "Multimodality Imaging for Navigation in Endoscopic Transsphenoidal Surgeries." Journal of Neurological Surgery Part A: Central European Neurosurgery 79, no. 06 (2018): 486–95. http://dx.doi.org/10.1055/s-0038-1666789.

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Background and Study Aims Computed tomography (CT) and magnetic resonance image (MRI) data have been widely used to for navigation in various neurosurgical operations. However, delicate intracranial structures cannot be displayed using only one imaging method. Navigation with multimodality imaging was developed to better visualize these structures in glioma removal, but whether it is useful in endoscopic transsphenoidal surgery is unknown. We describe our clinical experience using multimodality imaging for navigation in endoscopic transsphenoidal surgeries. Material and Methods A total of 134

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Zhang, Xu, DeZhi Han, and Chin-Chen Chang. "RDMMFET: Representation of Dense Multimodality Fusion Encoder Based on Transformer." Mobile Information Systems 2021 (October 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/2662064.

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Visual question answering (VQA) is the natural language question-answering of visual images. The model of VQA needs to make corresponding answers according to specific questions based on understanding images, the most important of which is to understand the relationship between images and language. Therefore, this paper proposes a new model, Representation of Dense Multimodality Fusion Encoder Based on Transformer, for short, RDMMFET, which can learn the related knowledge between vision and language. The RDMMFET model consists of three parts: dense language encoder, image encoder, and multimod

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Pink, Sarah. "Multimodality, multisensoriality and ethnographic knowing: social semiotics and the phenomenology of perception." Qualitative Research 11, no. 3 (2011): 261–76. http://dx.doi.org/10.1177/1468794111399835.

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In this article I consider the potential for combining multimodality and anthropologically informed sensory ethnographic methodologies. I focus on a comparison between anthropological and multimodality approaches to the senses, the relationships between images and words, and ethnography. In doing so I reveal some of the tensions and fundamental differences between these approaches before then considering if and/or how these might be reconciled.

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Kakula, Francis, Jimmy Mbelwa, and Hellen Maziku. "Advancing Face Recognition Technologies: The Role of Decision Trees in Classifying Complex Image Pairs." Journal of ICT Systems 2, no. 2 (2024): 29–41. http://dx.doi.org/10.56279/jicts.v2i2.89.

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The advancement of face recognition technologies has been pivotal in various applications, from security systems to personalized user experiences. There are significant efforts already devoted to solving challenges of multimodality and pose variation in face recognition. Some studies focus on multimodality but pose-invariant, and other studies focus on pose variation but single modality. Despite significant progress, various face recognition algorithms do not consider both multimodality and pose variation constraints in their proposed methods. Recognizing face images presented both in a differ

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Susilawati, Erna, Yunus Abidin, and Dede Trie Kurniawan. "Use Of The UTAUT 2 Model to Find Out Acceptance of Multimodality Learning Media Web-Based Elementary School Teachers in West Java." PrimaryEdu : Journal of Primary Education 7, no. 2 (2023): 199–208. https://doi.org/10.22460/pej.v7i2.3979.

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Abstract Interest in web-based multimodality learning media has increased rapidly in recent years. Multimodality learning media combines various elements such as text, images, audio, video, animation, and interactivity to create rich and interesting learning experiences. This study aims to describe the success and acceptability of web-based multimodality learning media among students. This study uses a qualitative approach involving students from various levels of education. Data was collected through observation, interviews and surveys. The results showed that web-based multimodality learning

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Qiu, Yue, Yutaka Satoh, Ryota Suzuki, Kenji Iwata, and Hirokatsu Kataoka. "Indoor Scene Change Captioning Based on Multimodality Data." Sensors 20, no. 17 (2020): 4761. http://dx.doi.org/10.3390/s20174761.

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This study proposes a framework for describing a scene change using natural language text based on indoor scene observations conducted before and after a scene change. The recognition of scene changes plays an essential role in a variety of real-world applications, such as scene anomaly detection. Most scene understanding research has focused on static scenes. Most existing scene change captioning methods detect scene changes from single-view RGB images, neglecting the underlying three-dimensional structures. Previous three-dimensional scene change captioning methods use simulated scenes consi

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Zhang, Yan, Jian Lian, Weikuan Jia, Chengjiang Li, and Yuanjie Zheng. "Multimodality registration for ocular multispectral images via co-embedding." Neural Computing and Applications 32, no. 10 (2019): 5435–47. http://dx.doi.org/10.1007/s00521-019-04685-w.

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Wang, Fan, Samia Ainouz, Chunfeng Lian, and Abdelaziz Bensrhair. "Multimodality semantic segmentation based on polarization and color images." Neurocomputing 253 (August 2017): 193–200. http://dx.doi.org/10.1016/j.neucom.2016.10.090.

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Yadav, Satya Prakash, and Sachin Yadav. "Image fusion using hybrid methods in multimodality medical images." Medical & Biological Engineering & Computing 58, no. 4 (2020): 669–87. http://dx.doi.org/10.1007/s11517-020-02136-6.

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Y. K., Anupama, Amutha S., and Ramesh Babu D. R. "An Efficient Preprocessing Technique for Multimodality Breast Cancer Images." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 08 (2023): 88–96. http://dx.doi.org/10.3991/ijoe.v19i08.40043.

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On average, one in every eight women is diagnosed with breast cancer during their lifetime, and accounts for 14% of cancers in women. Since early diagnosis could improve treatment outcomes and longer survival times for patients, it is absolutely necessary to develop techniques to classify lesions within breast cancer mammograms and ultrasound images. The main goal is to determine the class of tumor present within the image, which is pivotal in diagnosing breast cancer patients. In this paper, we propose an Sobel-Canny-Gabor(SCG) model, which is a hybrid model that implements three different ed

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Hidayah, Fithrah Nurul, Maslathif Dwi Purnomo, and Sholihatul Hamidah Daulay. "MULTIMODALITY IN THE ENGLISH TEXTBOOK IMAGES : GENDER REPRESENTATION ANALYSIS." Getsempena English Education Journal 12, no. 1 (2025): 76–90. https://doi.org/10.46244/geej.v12i1.3190.

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Gender representation in educational materials plays a crucial role in shaping students’ perceptions of societal roles. Previous studies have predominantly examined gender representation through written text, often overlooking the visual dimension, particularly in English textbooks. This study investigates gender representation through images in a tenth-grade English textbook using a multimodal discourse analysis, specifically focusing on representational aspects. A total of 131 images were examined, but only three met the criteria for analysis—each featuring both male and female human partici

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Liao, Ai-Ho, Li-Yen Chen, Wen-Fang Cheng, and Pai-Chi Li. "A Three-Dimensional Registration Method for MicroUS/MicroPET Multimodality Small-Animal Imaging." Ultrasonic Imaging 29, no. 3 (2007): 155–66. http://dx.doi.org/10.1177/016173460702900302.

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Small-animal models are used extensively in disease research, genomics research, drug development and developmental biology. The development of noninvasive small-animal imaging techniques with adequate spatial resolution and sensitivity is therefore of prime importance. In particular, multimodality small-animal imaging can provide complementary information. This paper presents a method for registering high-frequency ultrasonic (microUS) images with small-animal positron-emission tomography (microPET) images. Registration is performed using six external multimodality markers, each being a glass

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Zhang, Quan, Jianyun Cao, Junde Zhang, et al. "Differentiation of Recurrence from Radiation Necrosis in Gliomas Based on the Radiomics of Combinational Features and Multimodality MRI Images." Computational and Mathematical Methods in Medicine 2019 (December 1, 2019): 1–12. http://dx.doi.org/10.1155/2019/2893043.

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Purpose. To classify radiation necrosis versus recurrence in glioma patients using a radiomics model based on combinational features and multimodality MRI images. Methods. Fifty-one glioma patients who underwent radiation treatments after surgery were enrolled in this study. Sixteen patients revealed radiation necrosis while 35 patients showed tumor recurrence during the follow-up period. After treatment, all patients underwent T1-weighted, T1-weighted postcontrast, T2-weighted, and fluid-attenuated inversion recovery scans. A total of 41,284 handcrafted and 24,576 deep features were extracted

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Kesharwani, Anshita, Kaptan Singh, and Amit Saxena. "Advancements In Multi-Modality Medical Image Fusion: A Comprehensive Review." International Journal of Innovative Research in Engineering and Management 11, no. 2 (2024): 55–61. http://dx.doi.org/10.55524/ijirem.2024.11.2.11.

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Multimodality medical image fusion involves the amalgamation of multiple images acquired through single or multiple imaging modalities. The purpose of medical image fusion methods is to enhance the quality of medical images by effectively capturing the key features within the fused output. This consequently enhances the practicality of medical images for diagnostic assessment and issue identification. Medical imaging modalities like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) have been developed and are extensively utilized for clinical di

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Zaytoon, Heba Ahmed Ragai. "Caricature Images for Religious Profiling: A Multimodal Analysis of Islamophobia in Selected Press Images." Anglica. An International Journal of English Studies, no. 26/2 (September 11, 2017): 185–224. http://dx.doi.org/10.7311/0860-5734.26.2.11.

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The problem of religious profiling and the increase of animosity, exclusion and maltreatment of Muslim minorities in the West have reached an unprecedented level in a community where racism and segregation are usually denounced. The paper investigates the concept of Islamophobia as presented in 25 selected caricature images, along with their accompanying texts, chosen from magazines and specialized cartoon websites. Multimodality and its related analytic tools are utilized for making explicit the interactive messages encoded within these caricature images. The theoretical framework upon which

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Buzmakov, Alexey, Marina Chukalina, Irina Dyachkova, et al. "Enhanced Tomographic Sensing Multimodality with a Crystal Analyzer." Sensors 20, no. 23 (2020): 6970. http://dx.doi.org/10.3390/s20236970.

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This article demonstrates how a combination of well-known tools—a standard 2D detector (CCD (charge-coupled device) camera) and a crystal analyzer—can improve the multimodality of X-ray imaging and tomographic sensing. The use of a crystal analyzer allowed two characteristic lines of the molybdenum anode—Kα and Kβ—to be separated from the polychromatic radiation of the conventional X-ray tube. Thus, as a result of one measurement, three radiographic projections (images) were simultaneously recorded. The projection images at different wavelengths were separated in space and registered independe

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Tang, Ping, Kelin Quan, and Jianbin Zhu. "The Construction of China’s Images through Multimodal Metaphor: A Case Study of China-related BBC Documentaries." Theory and Practice in Language Studies 10, no. 9 (2020): 1044. http://dx.doi.org/10.17507/tpls.1009.05.

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Complementing three theoretical frameworks, conceptual metaphor theory (Lakoff and Johnson 1980) and critical metaphor analysis (Charteris-Black 2004; Musolff 2006, 2016) and multimodality from a cognitive viewpoint (Forceville and Urios-Aparisi 2009; Perez-Sobrina 2017), this study addresses the topic of China’s images unfolded in six BBC documentaries that are related to Chinese economy, social life, education, history, folklore, and cuisine respectively. This paper analyzes in detail how the theme metaphors are manifested multimodally through verbal, visual and aural modes and sub-modes wit

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Hermawan, Budi. "MULTIMODALITY: MENAFSIR VERBAL, MEMBACA GAMBAR,DAN MEMAHAMI TEKS." Jurnal Pendidikan Bahasa dan Sastra 13, no. 1 (2013): 19. http://dx.doi.org/10.17509/bs_jpbsp.v13i1.756.

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Abstrak Tulisan ini ditujukan khususnya untuk memenuhi dua tujuan utama. Pertama, tulisan ini memperkenalkan dan menjelaskan multimodality sebagai sebuah ‘prosedur analisa’ yang harus digunakan untuk menganalisa teks yang menggunakan lebih dari satu semiotic mode, khususnya yang menggunakan mode verbal dan mode gambar atau imej secara bersamaan dalam sebuah kesempatan penyampaian makna. Kedua, tulisan ini menjelaskan langkah-langkah teknis prosedur analisa multimodality yang dapat digunakan untuk menganalisa teks seperti tersebut dan memberikan contoh penggunaan langkah analisa. Dengan demikia

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Agarwal, Jyoti, and Sarabjeet Singh Bedi. "Hybrid image fusion of multimodality medical images for clinical diagnosis." International Journal of Telemedicine and Clinical Practices 2, no. 3 (2017): 225. http://dx.doi.org/10.1504/ijtmcp.2017.087876.

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Bedi, Sarabjeet Singh, and Jyoti Agarwal. "Hybrid image fusion of multimodality medical images for clinical diagnosis." International Journal of Telemedicine and Clinical Practices 2, no. 3 (2017): 225. http://dx.doi.org/10.1504/ijtmcp.2017.10008682.

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Betrouni, N., N. Makni, A. S. Dewalle-Vignion, and M. Vermandel. "MedataWeb: A shared platform for multimodality medical images and Atlases." IRBM 33, no. 3 (2012): 223–26. http://dx.doi.org/10.1016/j.irbm.2012.04.003.

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Gerlot-Chiron, Pascale, and Yves Bizais. "Registration of multimodality medical images using a region overlap criterion." CVGIP: Graphical Models and Image Processing 54, no. 5 (1992): 396–406. http://dx.doi.org/10.1016/1049-9652(92)90024-r.

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Smith, Mark F., and Vasken Dilsizian. "Display of 3D Multimodality Cardiac Images With 2D Polar Maps." JACC: Cardiovascular Imaging 9, no. 6 (2016): 712–14. http://dx.doi.org/10.1016/j.jcmg.2015.11.027.

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Zhao, Chunhui, Hongjiao Liu, Nan Su, Congan Xu, Yiming Yan, and Shou Feng. "TMTNet: A Transformer-Based Multimodality Information Transfer Network for Hyperspectral Object Tracking." Remote Sensing 15, no. 4 (2023): 1107. http://dx.doi.org/10.3390/rs15041107.

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Hyperspectral video with spatial and spectral information has great potential to improve object tracking performance. However, the limited hyperspectral training samples hinder the development of hyperspectral object tracking. Since hyperspectral data has multiple bands, from which any three bands can be extracted to form pseudocolor images, we propose a Transformer-based multimodality information transfer network (TMTNet), aiming to improve the tracking performance by efficiently transferring the information of multimodality data composed of RGB and hyperspectral in the hyperspectral tracking

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López Rodríguez, Clara Inés, Juan Antonio Prieto Velasco, and Maribel Tercedor Sánchez. "Multimodal representation of specialized knowledge in ontology-based terminological databases: the case of EcoLexicon." Journal of Specialised Translation, no. 20 (July 25, 2013): 49–67. https://doi.org/10.26034/cm.jostrans.2013.401.

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Multimodality is the construction of meaning through multiple modes of communication suited to the needs of different users. In this article we discuss the issue of multimodality in EcoLexicon, a multimodal Terminological Knowledge Base on the environment, and focus on the role of images in the representation of specialised knowledge (entities, events, properties and relations). Finally, we propose a series of principles that should guide the selection of multimodal resources with a view to their inclusion in terminological entries, and in order to highlight the ontological structure of EcoLex

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Zhou, Wu, Lijuan Zhang, Yaoqin Xie, and Changhong Liang. "A Novel Technique for Prealignment in Multimodality Medical Image Registration." BioMed Research International 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/726852.

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Image pair is often aligned initially based on a rigid or affine transformation before a deformable registration method is applied in medical image registration. Inappropriate initial registration may compromise the registration speed or impede the convergence of the optimization algorithm. In this work, a novel technique was proposed for prealignment in both monomodality and multimodality image registration based on statistical correlation of gradient information. A simple and robust algorithm was proposed to determine the rotational differences between two images based on orientation histogr

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Khongwirotphan, Sararas, Sornjarod Oonsiri, Sarin Kitpanit, et al. "Multimodality radiomics for tumor prognosis in nasopharyngeal carcinoma." PLOS ONE 19, no. 2 (2024): e0298111. http://dx.doi.org/10.1371/journal.pone.0298111.

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Background The prognosis of nasopharyngeal carcinoma (NPC) is challenging due to late-stage identification and frequently undetectable Epstein-Barr virus (EBV) DNA. Incorporating radiomic features, which quantify tumor characteristics from imaging, may enhance prognosis assessment. Purpose To investigate the predictive power of radiomic features on overall survival (OS), progression-free survival (PFS), and distant metastasis-free survival (DMFS) in NPC. Materials and methods A retrospective analysis of 183 NPC patients treated with chemoradiotherapy from 2010 to 2019 was conducted. All patien

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Fabijan, Artur, Sara Korabiewska-Pluta, Tomasz Puzio, Bartosz Polis, and Tomasz Moszura. "Images of Extremely Rare Cantrell Phenomenon." Diagnostics 14, no. 10 (2024): 1003. http://dx.doi.org/10.3390/diagnostics14101003.

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We present a case of a neonate born with prenatal diagnosis of Cantrell syndrome and ectopia cordis. This extremely rare congenital disorder underscores the significant need for multimodality imaging to plan further management. The aim of the study was to present the thoracoabdominal syndrome using a three-dimensional computed tomography angiography. The CT scans confirmed complex intracardiac defects consisting of tetralogy of Fallot, total anomalous pulmonary venous return and persistent left superior vena cava. In conclusion, Cantrell syndrome necessitates a multidisciplinary approach, from

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Rajalingam B. and Priya R. "Enhancement of Hybrid Multimodal Medical Image Fusion Techniques for Clinical Disease Analysis." International Journal of Computer Vision and Image Processing 8, no. 3 (2018): 16–40. http://dx.doi.org/10.4018/ijcvip.2018070102.

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Multimodal medical image fusion is one the most significant and useful disease analytic techniques. This research article proposes the hybrid multimodality medical image fusion methods and discusses the most essential advantages and disadvantages of these methods. The hybrid multimodal medical image fusion algorithms are used to improve the quality of fused multimodality medical image. Magnetic resonance imaging, positron emission tomography, and single photon emission computed tomography are the input multimodal therapeutic images used for fusion process. An experimental result of proposed hy

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Yang, Deshan, Jie Zheng, Ahmad Nofal, Joseph Deasy, and Issam M. El Naqa. "Techniques and software tool for 3D multimodality medical image segmentation." Journal of Radiation Oncology Informatics 1, no. 1 (2017): 1–22. http://dx.doi.org/10.5166/jroi-1-1-4.

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The era of noninvasive diagnostic radiology and image-guided radiotherapy has witnessed burgeoning interest in applying different imaging modalities to stage and localize complex diseases such as atherosclerosis or cancer. It has been observed that using complementary information from multimodality images often significantly improves the robustness and accuracy of target volume definitions in radiotherapy treatment of cancer. In this work, we present techniques and an interactive software tool to support this new framework for 3D multimodality medical image segmentation. To demonstrate this me

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Sihombing, Partohap Saut Raja, Herman Herman, and Nanda Saputra. "HOW TO TEACH ENGLISH CONVERSATION? AN IMPLEMENTATION OF A MULTIMODAL DISCOURSE ANALYSIS THROUGH IMAGES." English Review: Journal of English Education 10, no. 2 (2022): 431–38. http://dx.doi.org/10.25134/erjee.v10i2.6244.

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The purpose of this research is to identify how is the role of images implementation in teaching English conversation. Rapid technological developments increasingly highlight the use of multimodality theory. Multimodal in this case has a metafunction. Multimodal is now used as a new learning resource that can be used in the learning process. This multimodal aims as an evolving approach to knowledge in visual or image sources. This study used a qualitative descriptive method. In this study, an analysis of multimodal literature is carried out, namely through pictures of English conversations, th

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Hasyim, Muhammad, and Burhanuddin Arafah. "Semiotic Multimodality Communication in The Age of New Media." Studies in Media and Communication 11, no. 1 (2023): 96. http://dx.doi.org/10.11114/smc.v11i1.5865.

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The age of new media is changing the social order of communication. The availability of the widest access for internet users to communicate without time and region limitations is a feature of this digital media era. The second distinctive feature is the communication of digital media by using semiotic multimodality (a combination of verbal and nonverbal signs, for example, emojis, images, videos, sounds, and music). The purpose of this paper is to identify how cultures communicate with the New Media Age's semiotic multimodality. The approach used is semiotics, that is, an approach that views t

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Kang-Ping Lin, Sung-Cheng Huang, L. R. Baxter, and M. E. Phelps. "A general technique for interstudy registration of multifunction and multimodality images." IEEE Transactions on Nuclear Science 41, no. 6 (1994): 2850–55. http://dx.doi.org/10.1109/23.340657.

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Di Rosa, F., R. Costa, D. Sardina, and G. Politi. "A multimodality radiotherapy tested network platform for review of ultrasound images." Physica Medica 32 (February 2016): 19. http://dx.doi.org/10.1016/j.ejmp.2016.01.067.

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Y K, Anupama, Amutha S, Ramesh Babu D R, and S. Sathish Kumar. "Enhanced Firefly Optimization Based Classifier to Diagnose Multimodality Breast Cancer Images." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 06 (2023): 81–96. http://dx.doi.org/10.3991/ijoe.v19i06.37891.

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Breast cancer is one of the most affecting carcinoma for women from long time. Early detection is necessary to increase the lifespan of patients. In this study deep learning and machine learning approaches are applied to histopathological, mammogram and ultrasound breast cancer modalities. In- order to increase the efficacy of diagnosis of these modalities. Study has been carried out in majorly four phases. First phase involved collection of the datasets of all the three modalities mentioned earlier. Second phase consists of extracting relevant features using Resnet-18. Third phase involves fe

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Evans, Jonathan. "Translating board games: multimodality anad play." Journal of Specialised Translation, no. 20 (July 25, 2013): 15–32. https://doi.org/10.26034/cm.jostrans.2013.399.

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This article examines the translation of modern board games as multimodal texts. It argues that games are produced in the interaction between players, pieces and rules, making them a participatory form of text. The article analyses the elements of the rules and in-game text in order to show how the multimodal elements of the text are essential to the experience of the game and how they affect the translation process. Many games are designed to be translated for many markets and avoid unnecessary text on in-game elements, preferring images. This can be seen in a short case study which discusses

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Sun, Yanru, Zongxia Xie, Yanhong Chen, and Qinghua Hu. "Accurate Solar Wind Speed Prediction with Multimodality Information." Space: Science & Technology 2022 (August 10, 2022): 1–13. http://dx.doi.org/10.34133/2022/9805707.

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When the solar wind passes over the Earth, it will cause geomagnetic storms, affect short-wave communications, and threaten the safety of pipelines such as electricity and oil. Accurate prediction of the solar wind speed will allow people to make adequate preparations to avoid wasting resources and affecting people’s life. Most existing methods only use single-modality data as input and do not consider the information complementarity between different modalities. This paper proposes a multimodality prediction (MMP) method that jointly learns vision and sequence information in a unified end-to-

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M.Sofiya, MCA* &. S. Dhamodharan MCA. MBA. "A SURVEY OF MRI AND CT -BASED MEDICAL IMAGE ANALYSIS FOR TUMOUR SEGMENTATION." INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT 4, no. 5 (2017): 141–47. https://doi.org/10.5281/zenodo.573526.

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Multimodality medical image fusion has drawn innumerable attention with the increasing rate at that multimodality medical pictures square measure out there in several clinic application fields. irradiation arrange, for example, usually advantages from the complementary data in pictures of various modalities. Dose calculation relies on the computerized tomography (CT) knowledge, whereas neoplasm define is commonly higher performed within the corresponding resonance (MR) image. For diagnosis, CT provides the higher data on denser tissue with less distortion, whereas magnetic resonance imaging of

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Jabbar, Mokhallad Mezher, and Muhammed Barjes Salman. "A Multi-Model Study Of Persuasion Strategy in Some Medical Marketing Brochures." Journal of Tikrit University for Humanities 29, no. 11, 2 (2022): 24–43. http://dx.doi.org/10.25130/jtuh.29.11.2.2022.25.

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The current study deals with the concept of persuasion, which is one of the prominent linguistic phenomena in all societies. The study attempts to examine the concept of persuasion in marketing context from the point of view of the multimodality of promotional medical brochures, taking into account the fact that the process of persuasion in marketing of medical brochures depends on the relationship between texts, images, designs, fonts, and other factors. The study uses a multimodal analysis of some medical brochures, it includes textual and graphic analysis multimodality. The stud

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Nikhila, T. Bhuvan, and Sudheep Elayidom M. "A Multimodal Learning to Rank model for Web Pages." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 6 (2020): 308–13. https://doi.org/10.35940/ijeat.F1442.089620.

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“Learning-to-rank” or LTR utilizes machine learning technologies to optimally combine many features to solve the problem of ranking. Web search is one of the prominent applications of LTR. To improve the ranking of webpages, multimodality based Learning to Rank model is proposed and implemented. Multimodality is the fusion or the process of integrating multiple unimodal representations into one compact representation. The main problem with the web search is that the links that appear on the top of the search list may be either irrelevant or less relevant to the user than the one ap

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Zapletalová, Gabriela. "MULTIMODALITY IN ACADEMIC LANGUAGE: ASPECTS OF THE LEXICOGRAMMAR OF PRESENTATION SLIDES." Discourse and Interaction 7, no. 2 (2014): 61. http://dx.doi.org/10.5817/di2014-2-61.

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The paper approaches academic talks or conference presentations (CPs) as a researchprocess genre which is based on the interplay of the written and spoken modes. The aim of the study is twofold: (1) it attempts to present an in-depth overview of research on multimodality in relation to academic language, and (2) it offers a (mostly quantitative) analysis of slides from PowerPoint presentations. The slides are approached as a platform for the study of so-called visual lexicogrammar. The research is rooted in Halliday’s systemic-functional framework involving the concept of language functions; i

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Mengyang, Liu, J. Deloria Abigail, Haindl Richard, et al. "REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography." Journal of Physics: Photonics 3 (April 6, 2021): 021001. https://doi.org/10.1088/2515-7647/abf02f.

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Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhance

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Alseelawi, Nawar, Hussein Tuama Hazim, and Haider Th Salim Alrikabi. "A Novel Method of Multimodal Medical Image Fusion Based on Hybrid Approach of NSCT and DTCWT." International Journal of Online and Biomedical Engineering (iJOE) 18, no. 03 (2022): 114–33. http://dx.doi.org/10.3991/ijoe.v18i03.28011.

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The approach of multimodal medical image fusion, which extracts complementary information from several multimodality medical pictures, is one of the most significant and beneficial illness study tools. This work proposed an effective strategy for multimodal medical picture fusion based on a hybrid approach of NSCT and DTCWT. The experimental study's input multimodality medical images included computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). A suggested approach employs a convolutional network to generate a weight map that incorporates pixel mo

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