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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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Literature Corpus work
cd762056-d46f-5ab4-8fed-1dbfff199ae8
DOI
10.20944/preprints202510.0877.v1
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Adaptive Normalization Enhances the Generalization of Deep Learning Model in Chest X-Ray ClassificationDOI 10.20944/preprints202510.0877.v1
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