other · Zenodo (CERN European Organization for Nuclear Research)
We deposit here the versioned code corresponding to the results reported in our manuscript . The archive contains the complete implementation for training and evaluating three CNN architectures (DenseNet121, MobileNetV2, EfficientNetB0) for thoracic finding classification using the NIH ChestX-ray dataset, including preprocessing routines and evaluation utilities used to compute the reported performance metrics. To comply with dataset terms, no image data are included; the dataset should be downloaded independently from the official NIH Clinical Center repository.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.5281/zenodo.18762868
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