Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative? (Student Abstract)

نویسندگان

چکیده

Various artifacts, such as ghost colors, interlacing, and motion blur, hinder diagnosing colorectal cancer (CRC) from videos acquired during colonoscopy. The frames containing these artifacts are called uninformative present in large proportions colonoscopy videos. To alleviate the impact of we propose an adversarial network based framework to convert clinically relevant frames. We examine effectiveness proposed approach by evaluating translated for polyp detection using YOLOv5. Preliminary results improved performance along with elegant qualitative outcomes. also failure cases determine directions future work.

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ژورنال

عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence

سال: 2023

ISSN: ['2159-5399', '2374-3468']

DOI: https://doi.org/10.1609/aaai.v37i13.27021