3 citations · 5 across the 3 of their papers we have counts for
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cs.CV2023
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
cs.CV2023★ 1 cited
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen, Arsh Verma, Makarand Tapaswi +1
Real-world application of chest X-ray abnormality classification requires dealing with several challenges: (i) limited training data; (ii) training and evaluation sets that are der…
cs.CV2022★ 1 cited
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma, Makarand Tapaswi
Chest radiograph (or Chest X-Ray, CXR) is a popular medical imaging modality that is used by radiologists across the world to diagnose heart or lung conditions. Over the last decad…