Upload CT Images
Upload your CT image files to the online diagnostic engine. (.DICOM format)
A collaborative online AI engine for precise CT-based COVID-19 diagnosis
The federated learning framework is a decentralized architecture where the AI model is distributed to and executed at each host institution with the data sources or client ends for training and inferencing. The local copies of the AI model on the host institution eliminate network latencies and costs incurred due to sharing large size of data with the central server.
Download model structure and weight infomation from the server.
Modify configuration and start training with local data.
Contribute to the updating of the model by uploading parameters to the server.
Upload your CT image files to the online diagnostic engine. (.DICOM format)
Hit the "Start Diagnosis" button to begin.
The classification and confidence results will be shown and able to be downloaded.
tianxia@hust.edu or xbai@hust.edu.cn
Xiang Bai, Tian Xia, Yongchao Xu
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China.
Zhen Li, Yongchao Xu, Liya Ma, Chuou Xu
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Chuangsheng Zheng, Fan Yang
Department of Radiology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Daniel L. Rubin
Department of Radiation Oncology, Stanford University School of Medicine
Pattanasak Mongkolwat
Faculty of Information and Communication Technology, Mahidol University, Thailand.
Guoping, Wang, Yaobing Chen
Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
Jianjun Zhang
Thoracic/Head and Neck Medical Oncology, and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center
Ihab Roushdy Kamel
Russell H Morgan Department of Radiology & Radiologic Science, Johns Hopkins hospital, Johns Hopkins Medicine Institute
Nagaraj Holalkere, Neil J. Halin
CardioVascular and Interventional Radiology, Radiology for Quality and Operations, The CardioVascular Center at Tufts Medical Center, Radiology, Tufts University School of Medicine.
Jia Wu
Department of Radiation Oncology, Stanford University School of Medicine, 1070 Arastradero Rd, Palo Alto, CA94304.
Ming-wei Wang, Dehua Yang
The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Jianbo Shao, Xuehua Peng
Department of Radiology, Wuhan Children’s Hospital, Wuhan, China.
Xiang Wang
Department of Radiology, Wuhan Central Hospital, Wuhan, China.
Jiehua Yang, Xian Yang, Ke Ma, Ziwei Fan, Jiefeng Gan, Changzheng Zhang, Xinyu, Zou, Dandan Tu, Xiaowu Liu, Chang Shu, Renhao Huang, Changzheng Zhang