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

• Main Authors: Ho, Aik Hong, Sheikh, Usman Ullah
• Format: Conference or Workshop Item
• Published: IEEE 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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...