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This paper presents the culmination of our research in designing a system for computer-aided detection (CAD) of polyps in colonoscopy videos. Our system is based on a hybrid context-shape approach, which utilizes context information to remove non-polyp structures and shape information to reliably localize polyps. Specifically, given a colonoscopy image, we first obtain a crude edge map. Second, we...
Colonoscopy is the primary method for detecting and removing polyps — precursors to colon cancer, but during colonoscopy, a significant number of polyps are missed — the pooled miss-rate for all polyps is 22% (95% CI, 19%–26%). This paper presents an automatic polyp detection system for colonoscopy, aiming to alert colonoscopists to possible polyps during the procedures. Given an input image, our...
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