CXR-LT 2026 introduces a radiologist-annotated multi-center dataset of 145k+ CXRs to benchmark robust multi-label classification on known classes and open-world generalization to unseen rare diseases.
MIMIC-CXR Database
2 Pith papers cite this work, alongside 41 external citations. Polarity classification is still indexing.
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MIMIC-CXR-JPG provides 377,110 labeled chest X-rays derived from MIMIC-CXR with NLP-generated labels and standard splits for medical imaging AI development.
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CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification
CXR-LT 2026 introduces a radiologist-annotated multi-center dataset of 145k+ CXRs to benchmark robust multi-label classification on known classes and open-world generalization to unseen rare diseases.
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MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs
MIMIC-CXR-JPG provides 377,110 labeled chest X-rays derived from MIMIC-CXR with NLP-generated labels and standard splits for medical imaging AI development.