Thoracic Disease Classification

2 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays

mhealthbuet/domainagnosticcxr 27 Feb 2023

Additionally, we leverage consistency regularizations on global semantic features and predictive distributions from with and without style-perturbed versions of the same CXR to tweak the model's sensitivity toward content markers for accurate predictions.

Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain

ekagra-ranjan/AE-CNN ICVGIP 2018 2018

Deep learning models trained in natural images are commonly used for different classification tasks in the medical domain.