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ChestX-det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

2020-06-17 10:15:50
Jingyu Liu, Jie Lian, Yizhou Yu
arXiv_CV
       
Abstract

Instance level detection of thoracic diseases or abnormalities are crucial for automatic diagnosis in chest X-ray images. Most existing works on chest X-rays focus on disease classification and weakly supervised localization. In order to push forward the research on disease classification and localization on chest X-rays. We provide a new benchmark called ChestX-det10, including box-level annotations of 10 categories of disease/abnormality of $\sim$ 3,500 images. The annotations are located at this https URL.

Abstract (translated)

URL

https://arxiv.org/abs/2006.10550

PDF

https://arxiv.org/pdf/2006.10550.pdf

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