{"id":42329,"date":"2026-01-05T17:09:03","date_gmt":"2026-01-05T17:09:03","guid":{"rendered":"https:\/\/uomosul.edu.iq\/en\/computerscience\/?p=42329"},"modified":"2026-01-05T17:09:30","modified_gmt":"2026-01-05T17:09:30","slug":"1-472","status":"publish","type":"post","link":"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/01\/05\/1-472\/","title":{"rendered":"master\u2019s thesis by &#8221;\u00a0\u00a0 Waad Raad Saleh&#8221; Department of Computer science"},"content":{"rendered":"<p>master\u2019s thesis by &#8221;\u00a0\u00a0 Waad Raad Saleh&#8221; Department of Computer science<\/p>\n<p><strong>\u00a0<\/strong>Discussion of\u00a0 master\u2019s thesis in the College of Computer Science and Mathematics -Department of (Computer Science ) entitled:<\/p>\n<p>Applying Computer Vision Techniques\u00a0 for Liver Disease\u00a0\u00a0\u00a0 Diagnosis<\/p>\n<p>supervised by \u00a0Dr. \u00a0Elaf Osama Abdel-Magid<\/p>\n<p>The thesis addressed <strong>the application of computer vision and deep learning techniques in diagnosing liver diseases from medical images<\/strong>, through the development of intelligent models capable of <strong>classifying different types of liver diseases, detecting them, and localizing pathological regions within medical images with high accuracy<\/strong>.<\/p>\n<p>The study addressed \u00a0covered <strong>the design and development of an integrated system based on deep neural networks<\/strong>, where <strong>the U-Net model<\/strong> was used for <strong>segmentation of the liver and pathological lesions<\/strong>, while <strong>ResNet50 and YOLOv8<\/strong> were employed for <strong>classification and detection of liver disease types<\/strong>. In addition, <strong>the performance of the models was evaluated using accuracy, sensitivity, and reliability metrics<\/strong> to compare their effectiveness in medical diagnosis.\u00a0\u00a0 .<\/p>\n<p>The study aims to build and develop an artificial intelligence system based on deep learning that analyzes medical images of the liver for the purpose of early disease diagnosis using and integrating the ResNet50, U-Net, and YOLOv8 systems.This message achieves the following Sustainable Development Goals:<\/p>\n<ol>\n<li>Good health and well-being<\/li>\n<\/ol>\n<p>The discussion committee consists of<\/p>\n<p>Dr. Bidaa Ibrahim Khalil \u00a0\u00a0(Chairman)<\/p>\n<p>Dr. Muhammad Jajan Younis \u00a0(Member)<\/p>\n<p>Dr . Omar Muayyad Abdullah \u00a0(Member)<\/p>\n<p>Dr. Dr. \u00a0Elaf Osama Abdel-Magid (Member and Supervisor)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>master\u2019s thesis by &#8221;\u00a0\u00a0 Waad Raad Saleh&#8221; Department of Computer science \u00a0Discussion of\u00a0 master\u2019s thesis in the College of Computer Science and Mathematics -Department of (Computer Science ) entitled: Applying Computer Vision Techniques\u00a0 for Liver Disease\u00a0\u00a0\u00a0 Diagnosis supervised by \u00a0Dr. \u00a0Elaf Osama Abdel-Magid The thesis addressed the application of computer vision and deep learning techniques in diagnosing liver diseases from medical images, through the development of intelligent models capable of classifying different types of liver diseases, detecting them, and localizing pathological regions within medical images with high accuracy. The study addressed \u00a0covered the design and development of an integrated system based <a href=\"https:\/\/uomosul.edu.iq\/en\/computerscience\/2026\/01\/05\/1-472\/\"> [Read More]<\/a><\/p>\n","protected":false},"author":24,"featured_media":42330,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-42329","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-viva"],"_links":{"self":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/42329","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/comments?post=42329"}],"version-history":[{"count":1,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/42329\/revisions"}],"predecessor-version":[{"id":42331,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/posts\/42329\/revisions\/42331"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media\/42330"}],"wp:attachment":[{"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/media?parent=42329"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/categories?post=42329"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uomosul.edu.iq\/en\/computerscience\/wp-json\/wp\/v2\/tags?post=42329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}