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Interpretable Auto Window setting for deep-learning-based CT analysis
DOI:10.1016/j.compbiomed.2025.110994.png)
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
IF:
6.3
Papers:
8.3K
Citations:
3.3W

