FDAPNet: Feature Denoising and Aggregation Prediction Network for Polyp Segmentation
Author:
Affiliation:
1. Xiamen University,Institute of Artificial Intelligence,Xiamen,China
2. Xiamen University,Department of Artificial Intelligence,Xiamen,China
3. Xiamen University,Department of Electronic Science,Xiamen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650223.pdf?arnumber=10650223
Reference37 articles.
1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries
2. PolypSeg+: A Lightweight Context-Aware Network for Real-Time Polyp Segmentation
3. Cross-level Feature Aggregation Network for Polyp Segmentation
4. Factors influencing the miss rate of polyps in a back-to-back colonoscopy study
5. Medical Image Segmentation via Cascaded Attention Decoding
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