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Yu et al., 2022 - Google Patents

An end-to-end tracking method for polyp detectors in colonoscopy videos

Yu et al., 2022

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Document ID
6566524352362508680
Author
Yu T
Lin N
Zhang X
Pan Y
Hu H
Zheng W
Liu J
Hu W
Duan H
Si J
Publication year
Publication venue
Artificial intelligence in medicine

External Links

Snippet

Deep learning based computer-aided diagnosis technology demonstrates an encouraging performance in aspect of polyp lesion detection on reducing the miss rate of polyps during colonoscopies. However, to date, few studies have been conducted for tracking polyps that …
Continue reading at www.sciencedirect.com (HTML) (other versions)

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