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Relevant bibliographies by topics / Medical Image Transfer / Dissertations / Theses

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Dissertations / Theses on the topic 'Medical Image Transfer'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Altaf, Fouzia. "Deep learning augmentation for medical image analysis." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2603.

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Deep learning is at the center of the current rise of computer aided diagnosis in medical imaging. This technology has the ability to mimic extremely complex mathematical functions for predictive tasks. These functions are encoded as computational models that are learned directly from data. Deep learning models are known to achieve human-level accuracy for predictive tasks. However, such a performance requires that the model is trained on a huge amount of training data. For computer aided diagnosis tasks, the relevant training data needs to be carefully annotated by medical experts. This proce

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2

Byers, Daniel James 1958. "Design of a high speed fiber optic network interface for medical image transfer." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276590.

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A high speed, 125 mega-bit per second data rate, data communication channel using fiber optic technology is described. Medical image data, generated by CT scanner or magnetic resonance imaging type imaging equipment, passes from standard American College of Radiology - National Electrical Manufactures Association (ACR-NEMA) interface equipment to the High Speed Fiber Optic Network Interface (HSFONI). The HSFONI implements the ACR-NEMA standard interface physical layer with fiber optics. The HSFONI accepts data from up to 8 devices and passes data to other devices or to a data base archive syst

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3

Prieto, Moreno Kernel Enrique. "Novel mathematical techniques for structural inversion and image reconstruction in medical imaging governed by a transport equation." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/novel-mathematical-techniques-for-structural-inversion-and-image-reconstruction-in-medical-imaging-governed-by-a-transport-equation(b45f5566-daa7-4d47-a982-cf479e360c6f).html.

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Since the inverse problem in Diffusive Optical Tomography (DOT) is nonlinear and severely ill-posed, only low resolution reconstructions are feasible when noise is added to the data nowadays. The purpose of this thesis is to improve image reconstruction in DOT of the main optical properties of tissues with some novel mathematical methods. We have used the Landweber (L) method, the Landweber-Kaczmarz (LK) method and its improved Loping-Landweber-Kaczmarz (L-LK) method combined with sparsity or with total variation regularizations for single and simultaneous image reconstructions of the absorpti

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4

Dickens, Erik. "Towards automatic detection and visualization of tissues in medical volume rendering." Thesis, Linköping University, Department of Science and Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9800.

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<p>The technique of volume rendering can be a powerful tool when visualizing 3D medical data sets. Its characteristic of capturing 3D internal structures within a 2D rendered image makes it attractive in the analysis. However, the applications that implement this technique fail to reach out to most of the supposed end-users at the clinics and radiology departments of today. This is primarily due to problems centered on the design of the Transfer Function (TF), the tool that makes tissues visually appear in the rendered image. The interaction with the TF is too complex for a supposed end-user a

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Saraiva, Luciano Albuquerque Lima. "Desenvolvimento de software para processamento de imagens quantitativas em ressonância magnética." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/17/17140/tde-21092006-143828/.

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O uso de análise quantitativa em radiologia médica tem sido de grande valia na detecção de alterações não acessíveis à análise visual simples, dita qualitativa, seja por serem muito sutis, seja por não estarem presentes nas técnicas de imagem de ressonância magnética convencional. Porém, certos tipos de quantificação exigem a aquisição softwares e de plataformas computacionais de alto custo, além de mão de obra especializada com conhecimento técnico em computação para operar em ambientes não intuitivos. Neste cenário o objetivo deste trabalho foi a implementação de um software para análise de

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6

Tee, Yee Kai. "Quantitative measurement of pH in stroke using chemical exchange saturation transfer magnetic resonance imaging." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:e5634676-55a5-43ef-92e7-12166f3d6bf0.

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Stroke is one of the leading causes of death and adult disability worldwide. The major therapeutic intervention for acute ischemic stroke is the administration of recombinant tissue plasminogen activator (rtPA) to help to restore blood flow to the brain. This has been shown to increase the survival rate and to reduce the disability of ischemic stroke patients. However, rtPA is associated with intracranial haemorrhage and thus its administration is currently limited to only about 5% of ischemic stroke patients. More advanced imaging techniques can be used to better stratify patients for rtPA tr

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7

Ma, Yanjun. "Medical Image Fusion Based on Wavelet Transform." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4245.

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Medical image is a core step of medical diagnosis and has been diffusely applied in modern medical domain. The technology of modern medical image is more and more mature which could present images in different modes and features. Medical image fusion is the technology that could compound two mutual images into one according to certain rules to achieve clear visual effect. By observing medical fusion image, doctor could easily confirm the position of illness. According to the mutual features of CT medical image and MRI medical image, based on the technology of wavelet transform, the paper prese

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8

Choi, Hyunjong. "Medical Image Registration Using Artificial Neural Network." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1523.

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Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where multiple images are acquired from different sensors at various points in time. This allows doctors to monitor the effects of treatments on patients in a certain region of interest over time. In this thesis, artificial neural networks with curvelet keypoints are used to estimate the parameters of registra

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9

Ibraheem, Mohammed Shaaban. "Logarithmic Discrete Wavelet Transform For High Quality Medical Image Compression." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066067/document.

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De nos jours, la compression de l'image médicale est un processus essentiel dans les systèmes de cybersanté. Compresser des images médicales de haute qualité est une exigence vitale pour éviter de mal diagnostiquer les examens médicaux par les radiologues. WAAVES est un algorithme de compression d'images médicales prometteur basé sur la transformée en ondelettes discrètes (DWT) qui permet d'obtenir une performance de compression élevée par rapport à l'état de la technique. Les principaux objectifs de ce travail sont d'améliorer la qualité d'image lors de la compression à l'aide de WAAVES et de

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Ibraheem, Mohammed Shaaban. "Logarithmic Discrete Wavelet Transform For High Quality Medical Image Compression." Electronic Thesis or Diss., Paris 6, 2017. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2017PA066067.pdf.

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De nos jours, la compression de l'image médicale est un processus essentiel dans les systèmes de cybersanté. Compresser des images médicales de haute qualité est une exigence vitale pour éviter de mal diagnostiquer les examens médicaux par les radiologues. WAAVES est un algorithme de compression d'images médicales prometteur basé sur la transformée en ondelettes discrètes (DWT) qui permet d'obtenir une performance de compression élevée par rapport à l'état de la technique. Les principaux objectifs de ce travail sont d'améliorer la qualité d'image lors de la compression à l'aide de WAAVES et de

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Chakravarthy, Chinna Narayana Swamy Thrilok. "Combinational Watermarking for Medical Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5833.

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Digitization of medical data has become a very important part of the modern healthcare system. Data can be transmitted easily at any time to anywhere in the world using Internet to get the best diagnosis possible for a patient. This digitized medical data must be protected at all times to preserve the doctor-patient confidentiality. Watermarking can be used as an effective tool to achieve this. In this research project, image watermarking is performed both in the spatial domain and the frequency domain to embed a shared image with medical image data and the patient data which would include the

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12

Ahmadian, Alireza. "Flexible medical image transmission and compression schemes using multiresolution orthagonal wavelet transform." Thesis, Imperial College London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300006.

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De, Biase Alessia. "Generative Adversarial Networks to enhance decision support in digital pathology." Thesis, Linköpings universitet, Statistik och maskininlärning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158486.

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Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. However, these predictions could be improved further regarding variations in morphology, staining and differences across scanners. An approach to tackle such problems is to employ conditional GANs for style transfer. A total of 52 prostatectomies from 48 patients were scanned with two different scanners. Data was split into 40 images for trai

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Gao, Zhiyun. "Novel multi-scale topo-morphologic approaches to pulmonary medical image processing." Diss., University of Iowa, 2010. https://ir.uiowa.edu/etd/805.

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The overall aim of my PhD research work is to design, develop, and evaluate a new practical environment to generate separated representations of arterial and venous trees in non-contrast pulmonary CT imaging of human subjects and to extract quantitative measures at different tree-levels. Artery/vein (A/V) separation is of substantial importance contributing to our understanding of pulmonary structure and function, and immediate clinical applications exist, e.g., for assessment of pulmonary emboli. Separated A/V trees may also significantly boost performance of airway segmentation methods for h

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Sasko, Dominik. "Segmentace lézí roztroušené sklerózy pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442379.

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Hlavným zámerom tejto diplomovej práce bola automatická segmentácia lézií sklerózy multiplex na snímkoch MRI. V rámci práce boli otestované najnovšie metódy segmentácie s využitím hlbokých neurónových sietí a porovnané prístupy inicializácie váh sietí pomocou preneseného učenia (transfer learning) a samoriadeného učenia (self-supervised learning). Samotný problém automatickej segmentácie lézií sklerózy multiplex je veľmi náročný, a to primárne kvôli vysokej nevyváženosti datasetu (skeny mozgov zvyčajne obsahujú len malé množstvo poškodeného tkaniva). Ďalšou výzvou je manuálna anotácia týchto l

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Thakkar, Chintan. "Ventricle slice detection in MRI images using Hough Transform and Object Matching techniques." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001815.

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Nes, Preben Gråberg. "Edge-Detection in Signals using the Continuous Wavelet-Transform. : Edge-Detection in Medical UltraSound Images." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9498.

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<p>Today, UltraSound (US) images are often used in medical examination and surgery. An improvement of the quality of these US-images will lead to many advantages, which is a big motivation for research on this field. One obstacle in improving the quality of the images is the presence of noise and texture. In order to distinguish this unwanted information from the interesting objects, different techniques can be used. Characteristic features, such as the ability to find vague contours, small objects or edges of small strength, decides if the technique is suitable for analysing noisy signals. Th

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Trávníčková, Kateřina. "Interaktivní segmentace 3D CT dat s využitím hlubokého učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432864.

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This thesis deals with CT data segmentation using convolutional neural nets and describes the problem of training with limited training sets. User interaction is suggested as means of improving segmentation quality for the models trained on small training sets and the possibility of using transfer learning is also considered. All of the chosen methods help improve the segmentation quality in comparison with the baseline method, which is the use of automatic data specific segmentation model. The segmentation has improved by tens of percents in Dice score when trained with very small datasets. T

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Yang, Ximeng. "The Classification of Kinase Inhibitors on Five Channel Cell Painting Data Using Deep Learning." Thesis, Uppsala universitet, Institutionen för farmaceutisk biovetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446862.

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Purpose This project aims to explore the classification method of kinase inhibitors with five-channel cell painting image data based on the deep learning model. Methods A ResNet50 transfer learning model was used as the starting point to build the deep neural network (DNN) model, where different DNN parameters were selected to make the deep learning model more suitable for the cell painting data. Two different adaptive layers (adaptive average pooling 3D and convolution 2D) were added separately before the ResNet50 transfer learning model to adapt the five-layer cell painting image to the neur

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Papanastasiou, Maria. "Use of Deep Learning in Detection of Skin Cancer and Prevention of Melanoma." Thesis, KTH, Skolan för teknik och hälsa (STH), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209007.

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Melanoma is a life threatening type of skin cancer with numerous fatal incidences all over the world. The 5-year survival rate is very high for cases that are diagnosed in early stage. So, early detection of melanoma is of vital importance. Except for several techniques that clinicians apply so as to improve the reliability of detecting melanoma, many automated algorithms and mobile applications have been developed for the same purpose.In this paper, deep learning model designed from scratch as well as the pretrained models Inception v3 and VGG-16 are used with the aim of developing a reliable

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Chometon, Quentin. "Assessment of lung damages from CT images using machine learning methods." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-223621.

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Lung cancer is the most commonly diagnosed cancer in the world and its finding is mainly incidental. New technologies and more specifically artificial intelligence has lately acquired big interest in the medical field as it can automate or bring new information to the medical staff. Many research have been done on the detection or classification of lung cancer. These works are done on local region of interest but only a few of them have been done looking at a full CT-scan. The aim of this thesis was to assess lung damages from CT images using new machine learning methods. First, single predict

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Chi, Wenjun. "MRI image analysis for abdominal and pelvic endometriosis." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:27efaa89-85cd-4f8b-ab67-b786986c42e3.

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Endometriosis is an oestrogen-dependent gynaecological condition defined as the presence of endometrial tissue outside the uterus cavity. The condition is predominantly found in women in their reproductive years, and associated with significant pelvic and abdominal chronic pain and infertility. The disease is believed to affect approximately 33% of women by a recent study. Currently, surgical intervention, often laparoscopic surgery, is the gold standard for diagnosing the disease and it remains an effective and common treatment method for all stages of endometriosis. Magnetic resonance imagin

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Wang, Dong. "Digital image processing via combination of low-level and high-level approaches." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5384.

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With the growth of computer power, Digital Image Processing plays a more and more important role in the modern world, including the field of industry, medical, communications, spaceflight technology etc. There is no clear definition how to divide the digital image processing, but normally, digital image processing includes three main steps: low-level, mid-level and highlevel processing. Low-level processing involves primitive operations, such as: image preprocessing to reduce the noise, contrast enhancement, and image sharpening. Mid-level processing on images involves tasks such as segmentati

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McGarry, Gregory John. "Model-based mammographic image analysis." Thesis, Queensland University of Technology, 2002.

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Silva, Leandro Augusto da. "Categorização de imagens médicas baseada em transformada wavelet e mapas auto-organizáveis." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-02062009-160937/.

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Nos tempos atuais, as imagens médicas são fonte de dados fundamentais na medicina moderna. As imagens armazenadas em uma base de dados de acordo com as respectivas categorias são um importante passo para aplicações como mineração de dados e recuperação de imagens por conteúdo. Estas aplicações podem apoiar médicos e estudantes na decisão de diagnóstico, permitir pesquisas e ser usadas como material didático. O trabalho propõe o uso de Mapas Auto-Organizáveis (SOM) e TransformadaWavelet combinada com momentos de Hu para a categorização de imagens médicas. Para tanto, são realizados experimentos

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Hammadi, Shumoos T. H. "Novel medical imaging technologies for processing epithelium and endothelium layers in corneal confocal images. Developing automated segmentation and quantification algorithms for processing sub-basal epithelium nerves and endothelial cells for early diagnosis of diabetic neuropathy in corneal confocal microscope images." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/16924.

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Diabetic Peripheral Neuropathy (DPN) is one of the most common types of diabetes that can affect the cornea. An accurate analysis of the corneal epithelium nerve structures and the corneal endothelial cell can assist early diagnosis of this disease and other corneal diseases, which can lead to visual impairment and then to blindness. In this thesis, fully-automated segmentation and quantification algorithms for processing and analysing sub-basal epithelium nerves and endothelial cells are proposed for early diagnosis of diabetic neuropathy in Corneal Confocal Microscopy (CCM) images. Firstly,

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Arumuganainar, Ponnappan. "Automatic soft plaque detection from CTA." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26690.

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Thesis (M. S.)--Biomedical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Tannenbaum, Allen; Committee Member: Skrinjar, Oskar; Committee Member: Yezzi, Anthony. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Eude, Thierry. "Compression d'images médicales pour la transmission et l'archivage, par la transformée en cosinus discrète." Rouen, 1993. http://www.theses.fr/1993ROUES056.

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En milieu hospitalier, l'utilisation de l'imagerie prend une place de plus en plus importante. Mais la quantité d'informations que représentent les images quand on parle d'archivage ou de transmission numérique pose des problèmes très préoccupants. Une réponse à ceux-ci consiste à compresser ces images. De nombreuses méthodes existent. La plus utilisée est basée sur la transformée en cosinus discrète (TCD). Elle constitue le noyau de la norme JPEG sur la compression des images fixes. Les travaux présentés dans ce manuscrit, consistent à déterminer des outils pouvant être intégrés à cette norme

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Giraud, Remi. "Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0771/document.

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Cette thèse s’intéresse à diverses composantes du traitement et de l’analyse d’images par méthodes non locales. Ces méthodes sont basées sur la redondance d’information présente dans d’autres images, et utilisent des algorithmes de recherche de correspondance, généralement basés sur l’utilisation patchs, pour extraire et transférer de l’information depuis ces images d’exemples. Ces approches, largement utilisées par la communauté de vision par ordinateur, sont souvent limitées par le temps de calcul de l’algorithme de recherche, appliqué à chaque pixel, et par la nécessité d’effectuer un prétr

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ATTA-FOSU, THOMAS. "Fourier Based Method for Simultaneous Segmentation and Nonlinear Registration." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492439037011351.

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Soares, Heliana Bezerra. "An?lise e classifica??o de imagens de les?es da pele por atributos de cor, forma e textura utilizando m?quina de vetor de suporte." Universidade Federal do Rio Grande do Norte, 2008. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15118.

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Made available in DSpace on 2014-12-17T14:54:49Z (GMT). No. of bitstreams: 1 HelianaBS_da_capa_ate_cap4.pdf: 2361373 bytes, checksum: 3e1e43e8ba1aadc274663b8b8e3de72f (MD5) Previous issue date: 2008-02-22<br>Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico<br>The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main

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Le, Pogam Adrien. "Correction des effets de volume partiel en tomographie d'émission." Thesis, Tours, 2010. http://www.theses.fr/2010TOUR3304/document.

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Ce mémoire est consacré à la compensation des effets de flous dans une image, communément appelés effets de volume partiel (EVP), avec comme objectif d’application l’amélioration qualitative et quantitative des images en médecine nucléaire. Ces effets sont la conséquence de la faible résolutions spatiale qui caractérise l’imagerie fonctionnelle par tomographie à émission mono-photonique (TEMP) ou tomographie à émission de positons (TEP) et peuvent être caractérisés par une perte de signal dans les tissus présentant une taille comparable à celle de la résolution spatiale du système d’imagerie,

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Aganj, Ehsan. "Multi-view Reconstruction and Texturing=Reconstruction multi-vues et texturation." Phd thesis, Ecole des Ponts ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00517742.

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Dans cette thèse, nous étudions les problèmes de reconstruction statique et dynamique à partir de vues multiples et texturation, en s'appuyant sur des applications réelles et pratiques. Nous proposons trois méthodes de reconstruction destinées à l'estimation d'une représentation d'une scène statique/dynamique à partir d'un ensemble d'images/vidéos. Nous considérons ensuite le problème de texturation multi-vues en se concentrant sur la qualité visuelle de rendu..

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Shih, Guan-Hong, and 施冠宏. "Medical Image Diagnostics based on Deep Transfer Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/fvstx4.

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碩士<br>元智大學<br>工業工程與管理學系<br>107<br>In recent years, artificial intelligence and deep learning have developed rapidly and have achieved good results. At present, many fields are slowly introducing artificial intelligence to assist their work and make their work more efficient. The development of artificial intelligence in medical care has recently been introduced by more and more hospitals to assist doctors. Reducing the burden on doctors, allowing doctors to use reduced time and spirit to treat patients, and allowing more people to access medical services in the same amount of time. This study

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Kandel, Ibrahem Hamdy Abdelhamid. "Deep Learning Techniques for Medical Image Classification." Doctoral thesis, 2021. http://hdl.handle.net/10362/130159.

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A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision Systems<br>In recent years, artificial intelligence (AI) has been applied in many fields to address complex and critical real-world tasks. Deep learning rises as a subfield of AI, where artificial neural networks (ANN) are used to map complicated functions, which can be challenging even for experienced users. One of the ANN variants is called convolutional neural network (CNN), which has shown great potential in image processing by provid

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"Self-supervised Representation Learning via Image Out-painting for Medical Image Analysis." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.62756.

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abstract: In recent years, Convolutional Neural Networks (CNNs) have been widely used in not only the computer vision community but also within the medical imaging community. Specifically, the use of pre-trained CNNs on large-scale datasets (e.g., ImageNet) via transfer learning for a variety of medical imaging applications, has become the de facto standard within both communities. However, to fit the current paradigm, 3D imaging tasks have to be reformulated and solved in 2D, losing rich 3D contextual information. Moreover, pre-trained models on natural images never see any biomedical image

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Jian, Jhih-Wei, and 簡智韋. "Variable Block size Wavelet-Transform Medical Image Coding." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/38954297042128467624.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程系<br>98<br>Wavelet transform technique is widely used in image compression because it provides a multiresolution representation of images. With vector quantization algorithm, the wavelet transformed coefficients can be compressed further. In this study, we have proposed a quadtree segmentation method for medical image preprocess. Quadtree segmentation algorithm is used to divide a given MRI medical image, where regions with image detail will be segmented into blocks with smaller block size, and the background of the image will be assigned larger block size. Choosing pr

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Lin, Chang-Wei, and 林長蔚. "An Adaptive 3-D Discrete Cosine Transform Coder for Medical Image Compression." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/39910792944288497371.

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碩士<br>國立成功大學<br>電機工程學系<br>87<br>An Adaptive 3-D Discrete Cosine Transform Coder for Medical Image Compression Chang-Wei Lin*, Shen-Chuan Tai** Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan, R.O.C. Abstract Due to the bandwidth and storage limitations, medical images must be compressed before transmission and storage. However, the compression will reduce the image fidelity, especially when the images are compressed at lower bit rates and block-coded techniques are used, the reconstructed image will

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Huang, Chi-Jun, and 黃祈閏. "GA-Based Discrete Hartley Transform Quantization Table Design for Medical Image Compression." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/33420168580362438695.

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碩士<br>大葉大學<br>資訊工程學系碩士班<br>95<br>Recently, medical images are widely used in disease of diagnosis. The technique of X-ray, Magnetic Resonance Images（MRI）and Computed Tomography（CT）are used widely in medical image. Because the bandwidth of network is restricted, the store and compression techniques for medical image become more and more important. In this paper, we present a scheme to get better 2-D Discrete Hartley Transform（DHT）quantization table by Genetic Algorithm（GA）for medical image compression. The image is divided into 8×8 non-overlapping sub-blocks. Each sub-block transform to the fre

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Sako, Farau W., and 沙威廉. "Digital Watermarking of Medical Image Fusion based Discrete Wavelet Transform and Singular Value Decomposition." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/39862109168805695420.

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碩士<br>國立臺灣海洋大學<br>通訊與導航工程學系<br>103<br>Now a days many hospitals and diagnostic centers have started using wireless media for transmitting and receiving Medical information, security for exchanging these Medical information is highly required. In our study we propose Digital Watermarking of Fused Medical Image based on Discrete wavelet transform and Singular value decomposition algorithm, by applying digital watermarking to the medical image not only protecting medical image from the third part (attackers) but also providing authentication by means of adding ownership data as the watermark imag

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Chang, Wen-Lin, and 張文林. "The 3-D Reconstruction of Serial Cross-sectional Medical Images by Wavelet Transform." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/14587243383456860214.

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碩士<br>長庚大學<br>電機工程研究所<br>86<br>The usual image modalities include Ultrasound, X-ray, Computed Tomography (CT), Nuclear Magnetic Resonance Imaging (MRI), etc. To obtain the geometrical structure of anatomical changes, the 3-D reconstruction of the interesting organ shape from a series of cross-sectional images is often needed. Although the techniques of 3-D image reconstruction have been widely studied in usual, but it still plays an important role in the integrated medical diagnosis system. With the capability of 3-D visualization, this system can offer the doctors a good suggestion when diagn

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Tzeng, Yu Ren, and 曾裕仁. "Combined Wavelet Transform and Multistage Vector Quantization for Progressive Transmission of Medical Images." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/54675966661003572433.

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Chang, Ya-Chun, and 張雅淳. "A Study on Auto-Segmentation of Ultrasound Medical Image Using Discrete Wavelet Transform and Potential Field." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/67343438622359118782.

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碩士<br>國立臺北科技大學<br>電腦通訊與控制研究所<br>92<br>In this paper, we developed an ultrasound images segmentation system with watershed, Discrete Wavelet Transform (DWT) and Potential field. Firstly, we used watershed to segment the image into many blocks. Secondly, we use DWT to extract texture characteristics from these segmented blocks. According to the concept of Haar Wavelet, we know that the images have explored local variations of image by the magnitude of the wavelet function coefficients. Such characteristic is appropriate to analysis the speckle image like ultrasound image. Finally, we used the co

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Chen, Yang-Jhen, and 陳陽震. "A Modified 2-D Discrete Wavelet Transform Architecture Design with Its Applications to Medical Image Compression." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/26445714533091286706.

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碩士<br>長庚大學<br>半導體科技研究所<br>91<br>In the past decade, Discrete Wavelet Transform (DWT) has proven to be a useful technique in many aspects of applications into signal processing as well as compression. In addition, due to its characteristics of multiresolution and scalability, it has been applied extensively in the area of image/video compression. In particular, since medical images usually consist of tremendously large amount of data, an efficient data compression is thus demanded and even more important than before. In 1996, a novel algorithm, referred to as the lifting-based DWT, has been pro

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Mehrbany, Irany Behrang. "A High Capacity Reversible Multiple Watermarking Scheme - applications to Images, Medical Data, and Biometrics." Thesis, 2011. http://hdl.handle.net/1807/29530.

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Modern technologies have eased the way for adversaries to bypass the conventional identity authentication and identification processes; hence security systems have been developed to a great extent for protection of privacy and security of identities in different applications. The focus of this thesis is digital watermarking, security and privacy, as well as the ability to employ electrocardiogram as a method to enhance the security and privacy level. A high capacity reversible multiple watermarking scheme is introduced to mainly target the medical images. Furthermore, the use of ECG biometric

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Pilarski, Patrick Michael. "Computational analysis of wide-angle light scattering from single cells." Phd thesis, 2009. http://hdl.handle.net/10048/774.

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Thesis (Ph.D.)--University of Alberta, 2009.<br>Title from PDF file main screen (viewed on Apr. 1, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Department of Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.

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