Thoracic Disease Classification

2 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

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.

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

rafizunaed/domain_agnostic_content_aware_style_invariant 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.