A colonic polyps detection algorithm based on an improved YOLOv5s

A colonic polyps detection algorithm based on an improved YOLOv5s

Abstract Colon cancer is a prevalent malignancy, substantially it prevented most effectively from killing patients through early endoscopic detection. With the rapid development of artificial intelligence technology, the early diagnosis rate of colonic polyps achieves greater clinical efficacy for c...

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Bibliographic Details
Main Authors: Jianjun Li, Jinhui Zhao, Yifan Wang, Jinhui Zhu, Yanhong Wei, Junjiang Zhu, Xiaolu Li, Shubin Yan, Qichun Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Target detection
Feature fusion
Digestive endoscopy
Convolutional neural network
Online Access:https://doi.org/10.1038/s41598-025-91467-1
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https://doi.org/10.1038/s41598-025-91467-1

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