DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training

Affiliations

• ¹ School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.
• ² Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
• ³ Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
• ⁴ Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Key Laboratory of Neurostimulation, Beijing 100070, China.
• ⁵ Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China.
• ⁶ Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing 100070, China.
• ⁷ Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China.
• ⁸ Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore 21205, USA.
• ⁹ Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China. Electronic address: yaouliu80@163.com.
• ¹⁰ School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China. Electronic address: chuyang.ye@bit.edu.cn.