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Interpretable Auto Window setting for deep-learning-based CT analysis

delete2025-08-30
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PRE
AI
Y
Yiqin Zhang *
M
Meiling Chen
Z
Zhengjie Zhang
DOI:10.1016/j.compbiomed.2025.110994delete
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Abstract

Abstract

En 中文
• A plug-in module for neural networks that automatically sets CT windows. • Interpretable and compatible with mainstream deep learning architectures. • Helps researchers to construct deep-learning-based frameworks more easily. • A refined domain-invariant design to enhance the controllability and interpretability.
Keywords:
CT windowing
neural networks
interpretable deep learning
domain-invariant design
plug-in module

Journal

Computers in Biology and Medicine cover
Computers in Biology and Medicine
IF:
6.3
Papers:
8.3K
Citations:
3.3W

Organization

F
fudan university
Scholars:
11.6W
Papers: 7.7W
Citations: 121
U
university of shanghai for science and technology
Scholars:
5.6K
Papers: 2.2K
Citations: 4