CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray

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Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C. Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra, Donghyun Son, Álvaro Soto, Aisha Urooj et al. (14 additional authors not shown)

Published: 2025, Last Modified: 10 Apr 2026Medical Image Anal. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Held a challenge on long-tailed, multi-label and zero-shot chest X-ray learning.•Summarized insights from top-performing solutions in the CXR-LT challenge.•Released ><math><mo is="true">&gt;</mo></math>350k chest X-rays with labels for long-tailed disease classification.•Provided a public “gold standard” set with consensus human-annotated labels.•Showed multimodal models help with long-tailed and zero-shot classification.