CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification

Fuente: arXiv
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Main Authors: Cho, Juno, Kim, Dohui, Kim, Mingeon, Jang, Hyunseo, Lee, Chang Sun, Ye, Jong Chul
Format: Preprint
Published: 2026
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author Cho, Juno
Kim, Dohui
Kim, Mingeon
Jang, Hyunseo
Lee, Chang Sun
Ye, Jong Chul
author_facet Cho, Juno
Kim, Dohui
Kim, Mingeon
Jang, Hyunseo
Lee, Chang Sun
Ye, Jong Chul
contents This challenge tackles multi-label classification for known chest X-ray (CXR) lesions and zero-shot classification for unseen ones. To handle diverse CXR projections, we integrate projection-specific models via a classification network into a unified framework. For zero-shot classification (Task 2), we extend CheXzero with a novel dual-branch architecture that combines contrastive learning, Asymmetric Loss (ASL), and LLM-generated descriptive prompts. This effectively mitigates severe long-tail imbalances and maximizes zero-shot generalization. Additionally, strong data and test-time augmentations (TTA) ensure robustness across both tasks.
format Preprint
id arxiv_https___arxiv_org_abs_2604_02185
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification
Cho, Juno
Kim, Dohui
Kim, Mingeon
Jang, Hyunseo
Lee, Chang Sun
Ye, Jong Chul
Computer Vision and Pattern Recognition
This challenge tackles multi-label classification for known chest X-ray (CXR) lesions and zero-shot classification for unseen ones. To handle diverse CXR projections, we integrate projection-specific models via a classification network into a unified framework. For zero-shot classification (Task 2), we extend CheXzero with a novel dual-branch architecture that combines contrastive learning, Asymmetric Loss (ASL), and LLM-generated descriptive prompts. This effectively mitigates severe long-tail imbalances and maximizes zero-shot generalization. Additionally, strong data and test-time augmentations (TTA) ensure robustness across both tasks.
title CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2604.02185