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AFENet: Attention-driven feature evolution network for precise polyp segmentation

delete2026-08-24
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PRE
AI
P
Peiliang Huang
H
Huiqian Li
J
Jieru Yao
L
Longfei Han *
DOI:10.1016/j.bspc.2026.111306delete
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Abstract

Abstract

En 中文
• Dual-stage feature evolution dynamically refines representations for polyp segmentation. • CaRL suppresses irrelevant activations and enhances discriminative feature learning. • AUR refines uncertainty estimation and reduces false negatives and positives. • Achieves superior performance on PolypGen, PSNBI2K, and PICCOLO datasets.

Journal

Biomedical Signal Processing and Control cover
Biomedical Signal Processing and Control
IF:
4.9
Papers:
9.8K
Citations:
2.4W

Organization

B
Beijing Technology and Business University
Scholars:
3.8K
Papers: 1.6K
Citations: 1.6W
N
northwestern polytechnical university
Scholars:
1.2W
Papers: 4.3K
Citations: 0
H
hefei comprehensive national science center
Scholars:
179
Papers: 80
Citations: 0
U
University of Science and Technology of China
Scholars:
1.6W
Papers: 5.6K
Citations: 11.3W
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