Comparative study on methods for colon polyp endoscopic image segmentation and classification based on deep learning
Objective·To compare the performance of various deep learning methods in the segmentation and classification of colorectal polyp endoscopic images, and identify the most effective approach.Methods·Four colorectal polyp datasets were collected from three hospitals, encompassing 1 534 static images an...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Shanghai Jiao Tong University (Medical Science)
2024-06-01
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| Series: | Shanghai Jiaotong Daxue xuebao. Yixue ban |
| Subjects: | |
| Online Access: | https://xuebao.shsmu.edu.cn/article/2024/1674-8115/1674-8115-2024-44-6-762.shtml |