Using YOLOv3 to detect colorectal polyps in video
Abstract
A model based on the You Only Look Once (YOLO) algorithm was trained to detect polyps on a dataset of 503 polyp-positive images taken from colonoscopy video frames. We achieve precision on test sets that is comparable to the performance of a previously described model trained on a much larger set of 5,545 images. However, our model has a lower recall and missed some polyps in the test set.
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Published
2020-10-19
Issue
Section
Complex Systems and Data Analytics (Short Presentations)
How to Cite
[1]
“Using YOLOv3 to detect colorectal polyps in video”, Proc. SPP, vol. 38, no. 1, pp. SPP–2020, Oct. 2020, Accessed: Apr. 15, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2020-2A-05








