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机译:深度学习出血性病变检测和脑CT图像分割
Beihang Univ Image Proc Ctr Beijing 100083 Peoples R China;
Univ Liverpool Dept Elect & Elect Engn Liverpool L3 5TR Merseyside England;
Beihang Univ Image Proc Ctr Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;
Univ Calif Los Angeles Dept Neurol Los Angeles CA 90024 USA;
Beihang Univ Image Proc Ctr Beijing Adv Innovat Ctr Biomed Engn Beijing 100083 Peoples R China;
Univ Pacific Stockton CA 95211 USA;
Univ Calif Los Angeles Dept Neurol Los Angeles CA 90024 USA;
Univ Calif Los Angeles Dept Neurol Los Angeles CA 90024 USA;
Capital Med Univ Beijing Tiantan Hosp Dept Neurol Neurointens Care Unit Beijing 100050 Peoples R China;
Univ Calif Los Angeles Dept Neurol Los Angeles CA 90024 USA|Neurovasc Imaging Res Core Los Angeles CA 90024 USA;
Univ Calif Los Angeles Dept Comp Sci Dept Neurol Neurovasc Imaging Res Core Los Angeles CA 90024 USA;
Hemorrhaging; Computed tomography; Image segmentation; Lesions; Brain modeling; Training; Deep learning; hemorrhage; stroke; automatic diagnosis; segmentation;
机译:使用深度学习在MR图像中进行脑肿瘤检测和分割
机译:基于深度学习的急性缺血性脑卒中病变分割方法,使用少数完全标记对象的多模式MR图像
机译:利用肿瘤区深层学习网络和3D成像对语义分割MR图像的脑肿瘤预测
机译:基于深度学习技术的CT图像脑部病变分割
机译:使用磁共振图像自动进行脑部病变检测和分割。
机译:利用少数完全标记对象的多模式MR图像深度学习的急性缺血性卒中病变分割方法
机译:基于深度学习技术的CT图像脑部病变分割