Article
Adaptive Normalization Enhances the Generalization of Deep Learning Model in Chest X-Ray Classification
2025-10-11
Abstract excerpt
This research examines how image normalization enhances generalization of deep learning models in chest X-ray (CXR) classification. Two key challenges are addressed: inaccurate localization of the region of interest (ROI) and variability in image quality across datasets. Three normalization methods scaling, Z-score, and an adaptive ap-proach are compared using four benchmark datasets (ChestX-ray14, CheXpert, MIM-I...
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Identifiers and source
- Literature Corpus work
- cd762056-d46f-5ab4-8fed-1dbfff199ae8
- DOI
- 10.20944/preprints202510.0877.v1
