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Dissertations / Theses on the topic 'Computer-Aided Diagnosis (CADx)'

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1

Kachouri, Imen. "Description et classification des masses mammaires pour le diagnostic du cancer du sein." Thesis, Evry-Val d'Essonne, 2012. http://www.theses.fr/2012EVRY0017/document.

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Le diagnostic assisté par ordinateur du cancer du sein devient de plus en plus une nécessité vu la croissance exponentielle du nombre de mammographies effectuées chaque année. En particulier, le diagnostic des masses mammaires et leur classification suscitent actuellement un grand intérêt. En effet, la complexité des formes traitées et la difficulté rencontrée afin de les discerner nécessitent l'usage de descripteurs appropriés. Dans ce travail, des méthodes de caractérisation adaptées aux pathologies mammaires sont proposées ainsi que l'étude de différentes méthodes de classification est abor
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2

Elter, Matthias. "Computer-aided diagnosis of breast cancer." Tönning Lübeck Marburg Der Andere-Verl, 2010. http://d-nb.info/1001110773/04.

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3

Xiao, Chun. "Computer Aided Diagnosis (CAD) of Parkinson‘s Disease with Machine Learning Models." Thesis, The University of Sydney, 2019. https://hdl.handle.net/2123/21390.

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Parkinson‘s disease is a disorder of nervous system that mainly affects aged people. It is caused by the progressive degeneration of nerve cells in the brain, which results in a lack of dopamine necessary for controlled movements. As Parkinson‘s disease can not be cured, the early detection of Parkinson‘s disease is very helpful for a better management and care of patients, their families and the communities. This thesis reviewed the research status of Parkinson’s Disease (PD) diagnosis and extensive genetic association of PD issues, and proposed a key feature based machine learning strategy
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4

Padilla, Cerezo Berizohar. "Computer-Aided Diagnoses (CAD) System: An Artificial Neural Network Approach to MRI Analysis and Diagnosis of Alzheimer’s Disease (AD)." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1837.

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Alzheimer’s disease (AD) is a chronic and progressive, irreversible syndrome that deteriorates the cognitive functions. Official death certificates of 2013 reported 84,767 deaths from Alzheimer’s disease, making it the 6th leading cause of death in the United States. The rate of AD is estimated to double by 2050. The neurodegeneration of AD occurs decades before symptoms of dementia are evident. Therefore, having an efficient methodology for the early and proper diagnosis can lead to more effective treatments. Neuroimaging techniques such as magnetic resonance imaging (MRI) can detect changes
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5

Pons, Rodríguez Gerard. "Computer-aided lesion detection and segmentation on breast ultrasound." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/129453.

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This thesis deals with the detection, segmentation and classification of lesions on sonography. The contribution of the thesis is the development of a new Computer-Aided Diagnosis (CAD) framework capable of detecting, segmenting, and classifying breast abnormalities on sonography automatically. Firstly, an adaption of a generic object detection method, Deformable Part Models (DPM), to detect lesions in sonography is proposed. The method uses a machine learning technique to learn a model based on Histogram of Oriented Gradients (HOG). This method is also used to detect cancer lesions directly,
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6

Woods, Brent J. "Computer-Aided Detection of Malignant Lesions in Dynamic Contrast Enhanced MRI Breast and Prostate Cancer Datasets." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1218155270.

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7

Al-Osta, Husam E. I. "Detection of breast cancer microcalcifications in digitized mammograms : developing segmentation and classification techniques for the processing of MIAS database mammograms based on the wavelet decomposition transform and support vector machines." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4429.

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Mammography is used to aid early detection and diagnosis systems. It takes an x-ray image of the breast and can provide a second opinion for radiologists. The earlier detection is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CAD) systems that can detect and analyze abnormalities in a mammogram. The purpose of this study is to investigate how to categories cropped regions of interest (ROI) from digital mammogram images into two classes; normal and abnormal regions (which contain microcalcifications). The work proposed in this thesis is divided
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8

Matheus, Bruno Roberto Nepomuceno. "BancoWeb: base de imagens mamográficas para auxílio em avaliações de esquemas CAD." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-24062010-155737/.

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Este trabalho teve como objetivo desenvolver uma base de imagens mamográficas online com acesso público para desenvolvimento, testes e avaliação comparativa de esquemas computadorizados de auxilio ao diagnóstico (CADs). A base contem imagens de vários hospitais, com grande variedade de laudos, também disponíveis na base assim como informações sobre dados clínicos (não confidenciais) dos pacientes. Uma interface detalhada foi criada para permitir o fácil acesso público, permitindo o uso de ferramentas de busca, recorte, analise estatística e inserção remota de imagens, entre outras. Testes comp
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9

Rodrigues, Pâmela Serra. "Ferramentas de interação e gerenciamento do BancoWeb: uma base de imagens para auxílio a pesquisas na área de mamografia digital." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-04022019-114720/.

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O BancoWeb é uma base de imagens para auxilio a pesquisa na área de mamografia digital. Oferece o gerenciamento da base de dados com um conjunto amplo de imagens mamográficas de qualidade apropriada ao processamento digital e, principalmente, comparação entre diferentes esquemas. O sistema de busca da base de dados/imagens mamográficas está disponível desde 2010, sendo on-line e gratuito. Com os avanços em pesquisas durante todos estes anos, a necessidade e demanda de melhorias, mudanças e incrementos no sistema de gerenciamento e buscas foram surgindo. Por isso, os objetivos deste trabalho es
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10

Marques, Fátima de Lourdes dos Santos Nunes. "Esquema de diagnóstico auxiliado por computador para detecção de agrupamentos de microcalcificações por processamento de imagens mamográficas." Universidade de São Paulo, 1997. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-03052010-085207/.

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O câncer de mama é hoje uma das principais causas de mortalidade de mulheres em todo o mundo. Porém, a sua detecção no estágio inicial de desenvolvimento aumenta consideravelmente as chances de cura. Exatamente por isso estão sendo desenvolvidos vários tipos de sistemas computacionais baseados em processamento de imagens em centros de pesquisas no mundo todo, a fim de auxiliar o radiologista na precisão do seu diagnóstico. A pesquisa aqui apresentada se insere nesse contexto e consistiu no desenvolvimento de um sistema computacional para detectar uma das estruturas que podem ser indício da pre
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11

Saibro, Güinther. "Classification automatique des vidéos échographiques abdominales : de l'annotation subjective à l'inférence en temps réel dans des vidéos brutes." Electronic Thesis or Diss., Strasbourg, 2025. http://www.theses.fr/2025STRAD002.

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L’échographie b-mode est idéale pour le dépistage précoce des pathologies abdominales grâce à son faible coût et son caractère non-invasif. Les méthodes de diagnostic automatique basées sur l’apprentissage profond visent à réduire l’expertise requise, elles sont souvent entraînées sur des données manuellement sélectionnées d’images haute qualité, limitant leur efficacité sur des vidéos brutes contenant beaucoup d'images de faible qualité. Nous étudions des solutions d’apprentissage profond pour le diagnostic automatisé des pathologies du foie et du rein à partir de ces vidéos. Nos contribution
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12

Costa, Daniel Duarte. "PROCESSAMENTO E ANÁLISE DE SINAIS MAMOGRÁFICOS NA DETECÇÃO DO CÂNCER DE MAMA: Diagnóstico Auxiliado por Computador (CAD)." Universidade Federal do Maranhão, 2012. http://tedebc.ufma.br:8080/jspui/handle/tede/64.

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Made available in DSpace on 2016-08-16T18:18:41Z (GMT). No. of bitstreams: 1 Tese Daniel Duarte Costa.pdf: 3067192 bytes, checksum: b9a8d78583596a2e1dff6298c4a89014 (MD5) Previous issue date: 2012-12-06<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Breast cancer is the leading cause of cancer death among women in Western countries. To improve the accuracy of diagnosis by radiologists and doing it so early, new computer vision systems have been developed and improved with the passage of time. Some methods of the detection and classification of lesions in mammography im
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13

Barbosa, Filho José Rogério Bezerra. "Um método automático de detecção de massas em mamografias por meio de redes neurais." Universidade Federal da Paraí­ba, 2012. http://tede.biblioteca.ufpb.br:8080/handle/tede/6077.

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Made available in DSpace on 2015-05-14T12:36:35Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 4611703 bytes, checksum: c5e21f035f26ff6959248fbd243a0217 (MD5) Previous issue date: 2012-04-20<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES<br>Breast cancer is the most common cause of death by cancer in the female population and a serious world health problem. The mammographic exam allows an early detection which reduces the mortality rate of the disease. Its efficiency has made it the standard procedure for breast cancer diagnosis. These reasons have led to the develo
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14

Jaouen, Tristan. "Caractérisation du cancer de la prostate de haut grade à l’IRM multiparamétrique à l’aide d’un système de diagnostic assisté par ordinateur basé sur la radiomique et utilisé comme lecteur autonome ou comme second lecteur." Electronic Thesis or Diss., Lyon, 2022. http://www.theses.fr/2022LYSE1140.

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Nous avons développé un système de diagnostic assisté par ordinateur (CAD) basé sur des régions d'intérêt pour caractériser le cancer de la prostate avec un grade de l'International Society of Urological Pathology (ISUP) ≥2 lors d'une IRM multiparamétrique (IRM-mp). Les paramètres de l'image provenant de 2 jeux de données multi-constructeurs de 265 IRM pré-prostatectomie et 112 IRM pré-biopsie ont été combinés en utilisant la régression logistique. Les meilleurs modèles contenaient le 2e percentile d’ADC (ADC2) et le taux de rehaussement normalisé (WI) dans la zone périphérique (ZP) et le 25e
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15

Garali, Imène. "Aide au diagnostic de la maladie d’Alzheimer par des techniques de sélection d’attributs pertinents dans des images cérébrales fonctionnelles obtenues par tomographie par émission de positons au 18FDG." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM4364/document.

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Dans le cadre de cette thèse, nous nous sommes intéressés à l’étude de l’apport d’une aide assistée par ordinateur au diagnostic de certaines maladies dégénératives du cerveau, en explorant les images de tomographie par émission de positons, par des techniques de traitement d’image et d’analyse statistique.Nous nous sommes intéressés à la représentation corticale des 116 régions anatomiques, en associant à chacune d’elles un vecteur d’attribut issu du calcul des 4 premiers moments des intensités de voxels, et en y incluant par ailleurs l’entropie. Sur la base de l’aire de courbes ROC, nous avo
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16

González, Obando Daniel Felipe. "From digital to computational pathology for biomarker discovery." Electronic Thesis or Diss., Université Paris Cité, 2019. http://www.theses.fr/2019UNIP5185.

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L'histopathologie a pour objectif d'analyser des images de tissus biologiques pour évaluer l’état pathologique d'un organe et établir un diagnostic. L'apparition des scanners de lames a haute résolution a ouvert la voie a des nouvelles possibilités d'acquisition de très grandes images (whole slide imaging), de multiplexage de marquages, d'extraction exhaustive d'informations visuelles et d'annotations multiples a large échelle. Cette thèse propose un ensemble de méthodes algorithmiques visant a faciliter et optimiser ces différents aspects. Dans un premier temps, nous proposons une méthode de
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17

Soares, Filipe Cruz Gomes. "Computer-aided detection and diagnosis of breast cancer in 2D and 3D medical imaging through multifractal analysis." Doctoral thesis, 2013. http://hdl.handle.net/10400.6/4244.

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This Thesis describes the research work performed in the scope of a doctoral research program and presents its conclusions and contributions. The research activities were carried on in the industry with Siemens S.A. Healthcare Sector, in integration with a research team. Siemens S.A. Healthcare Sector is one of the world biggest suppliers of products, services and complete solutions in the medical sector. The company offers a wide selection of diagnostic and therapeutic equipment and information systems. Siemens products for medical imaging and in vivo diagnostics include: ultrasound, co
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