English

ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities

Image and Video Processing 2020-10-20 v3 Computer Vision and Pattern Recognition

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 https://github.com/Deepwise-AILab/ChestX-Det10-Dataset.

Keywords

Cite

@article{arxiv.2006.10550,
  title  = {ChestX-Det10: Chest X-ray Dataset on Detection of Thoracic Abnormalities},
  author = {Jingyu Liu and Jie Lian and Yizhou Yu},
  journal= {arXiv preprint arXiv:2006.10550},
  year   = {2020}
}