The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

by   Jie Lian, et al.

The detection of thoracic abnormalities challenge is organized by the Deepwise AI Lab. The challenge is divided into two rounds. In this paper, we present the results of 6 teams which reach the second round. The challenge adopts the ChestX-Det10 dateset proposed by the Deepwise AI Lab. ChestX-Det10 is the first chest X-Ray dataset with instance-level annotations, including 10 categories of disease/abnormality of 3,543 images. The annotations are located at In the challenge, we randomly split all data into 3001 images for training and 542 images for testing.


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