Photoshopping Colonoscopy Video Frames
Published: Apr 1, 2020
Abstract
The automatic detection of frames containing polyps from a colonoscopy video sequence is an important first step for a fully automated colonoscopy analysis tool. Typically, such detection system is built using a large annotated data set of frames with and without polyps, which is expensive to be obtained. In this paper, we introduce a new system that detects frames containing polyps as anomalies from a distribution of frames from exams that do...
Paper Details
Title
Photoshopping Colonoscopy Video Frames
Published Date
Apr 1, 2020
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