Automatic detection, segmentation and classification of Abdominal Aortic Aneurysm using deep learning

• 主要な著者: Ho, Aik Hong, Sheikh, Usman Ullah
• フォーマット: Conference or Workshop Item
• 出版事項: IEEE 2016
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/id/eprint/67022/; http://dx.doi.org/10.1109/CSPA.2016.7515839

In this paper, an automated method for the detection, segmentation and classification of Abdominal Aortic Aneurysm (AAA) region in computed tomography (CT) images is introduced. Deep Belief Network (DBN) is applied for the purpose of AAA detection and severity classification in this study. Optimum p...