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

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

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Chenghao Liu、Zhizheng Zhuo、Liying Qu、Ying Jin、Tiantian Hua、Jun Xu、Guirong Tan、Yuna Li、Yunyun Duan、Tingting Wang、Zaiqiang Zhang、Yanling Zhang、Rui Chen、Pinnan Yu、Peixin Zhang、Yulu Shi、Jianguo Zhang、Decai Tian、Runzhi Li、Xinghu Zhang、Fudong Shi、Yanli Wang、Jiwei Jiang、Aaron Carass、Yaou Liu、Chuyang Ye

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School of Integrated Circuits and Electronics,Beijing Institute of Technology,Beijing 100081,China

Department of Radiology,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China

Department of Neurology,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China

Department of Neurosurgery,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China

Beijing Key Laboratory of Neurostimulation,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

Department of Electrical and Computer Engineering,Johns Hopkins University,Baltimore 21205,USA

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Fundamental Research Funds for the Central UniversitiesBeijing Municipal Natural Science FoundationNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaSpecial Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority

2022CX1100JQ200358187095881571631XTYB201831

2024

科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCD
ISSN:1001-6538
年,卷(期):2024.69(7)
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