论文标题
检测胸腔异常Chestx-Det10挑战结果
The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results
论文作者
论文摘要
Deepwise AI实验室组织了胸腔异常挑战的检测。挑战分为两轮。在本文中，我们介绍了6个进入第二轮的团队的结果。挑战采用了DeepWise AI实验室提出的ChestX-DET10日期。 ChestX-DET10是第一个具有实例级注释的胸部X射线数据集，其中包括10类疾病/异常3,543张图像。注释位于https://github.com/deepwise-ailab/chestx-det10-dataset。在挑战中，我们将所有数据随机分为3001张图像，进行训练和542张图像进行测试。
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 https://github.com/Deepwise-AILab/ChestX-Det10-Dataset. In the challenge, we randomly split all data into 3001 images for training and 542 images for testing.
