Review of abnormal polyps detection and segmentations from wireless capsule endoscopy videos

What is it about?

This is a review of various image processing and machine learning based tools that are available for detection polyps from video capsule endoscopy videos. Polyps can be precursor to colorectal cancer and thus detecting them is important in computer-aided diagnosis. This work reviews the automatic techniques that are available (until 2017) in the literature.

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Photo by National Cancer Institute on Unsplash

Photo by National Cancer Institute on Unsplash

Why is it important?

Polyps detection is an important step in preventing colorectal cancer. Capsule endoscopy is one of the widely used imaging modality in screening gastroenterology patients. This work illustrates the use of automatic polyps segmentations, and detection methods that can help aid the gastroenterologists.