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Wireless Capsule Endoscopy (WCE) is a novel imaging technique for the investigation of the entire small bowel. It produces over 50,000 images per examination. It is a highly time-consuming and labor tedious task to review such a large amount of images. Recent research has focused on developing computer aided diagnosis (CAD) systems to reduce the heavy burden of physicians. In this paper, we propose...
Wireless Capsule Endoscopy (WCE) is a state-of-the-art technology to examine the entire gastrointestinal tract. Its main disadvantage is long review time for physicians to diagnose diseases, as it will produce over 55,000 frames per patient for one examination. In this paper we propose a novel strategy to segment WCE video clips based on abnormality. The new scheme is based on a non-parametric corner...
Wireless Capsule endoscopy (WCE) has been developed to allow direct view of the entire small bowel in human body in a noninvasive manner for the first time. But the visual inspection of a large number of video frames produced in each examination poses a tedious task to physicians. In this paper, we propose a novel scheme aiming for reduction of the number of frames in a video so as to partially solve...
Wireless Capsule Endoscopy (WCE) is a revolutionary technology that allows physicians to examine the patients whole gastrointestinal tract, especially the small intestine. However, reviewing capsule endoscopic video is a labor intensive task and very time consuming. In this paper we propose a novel method to detect key frames with abnormalities. It is based on the adaptive non-parametric corner detection...
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