HEMF: an adaptive hierarchical enhanced multi-attention feature fusion framework for cross-scale medical image classification

Medical image classification is essential for contemporary clinical diagnosis and decision support systems. However, medical images generally have similar inter-class features and complex structure patterns, making it a challenging task. While both local and global features are critical for noise re...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Jingdong He, Qiang Shi, Jun Ma, Dacheng Shi, Tie Min
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-09-01
Subjects:	Multi-attention feature fusion Adaptive feature extraction Hierarchical enhanced features Medical image classification
Online Access:	https://peerj.com/articles/cs-3181.pdf