The paper from our lab won the "best paper" of MICCAI2019 workshop

MICCAI 2019, the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, was held from October 13th to 17th, 2019 in Shenzhen, China.

The annual MICCAI conference attracts world leading biomedical scientists, engineers, and clinicians from a wide range of disciplines associated with medical imaging and computer assisted intervention.The conference series includes three days of oral presentations and poster sessions. MICCAI 2019 also includes workshops, tutorials, and challenges, industry forum on the days preceding and succeeding the conference. These satellite events offer a comprehensive forum to further explore topics relevant to MICCAI

Xiaoyu He and Xinyu Zhao, members of the laboratory, went to Shenzhen on October 13, 2019 to attend the conference and gave an oral presentation. The main content is: XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis. The authors propose a large-scale, Asian-dominated dataset of skin diseases with bounding box labels, namely XiangyaDerm. It contains 107,565 clinical images, covering 541 types of skin diseases. Each image in this dataset is labeled by professional doctors. This dataset is the largest clinical image dataset of Asian skin diseases used in Computer Aided Diagnosis (CAD) system worldwide. Authors compare the classification results of several advanced Convolutional Neural Networks (CNNs) on this dataset and show that CNN model has a very different test effect on different ethnic datasets. After the selection of the organizing committee, this article was rated as the "Best Paper" of LABELS.