Department of Electrical and Electronic Engineering, Mie University, Mie, Japan;
Department of Electrical and Electronic Engineering, Mie University, Mie, Japan;
Department of Computer Science, University of Missouri-Columbia, Columbia MO 65211 USA;
Division of Biomedical Informatics, Cincinnati Childrens Hospital Medical Center, Cincinnati OH 45299 USA;
Department of Electrical and Electronic Engineering, Mie University, Mie, Japan;
Feature extraction; Diseases; Image analysis; Machine learning; Biomedical imaging; Image segmentation; Tumors;
机译:深度卷积神经网络自动疾病阶段分类胶质母细胞瘤多形组织病理学图像
机译:深层CNN和基于几何特征的胃肠道疾病从无线胶囊内窥镜检查中检测和分类
机译:用于乳腺组织病理学图像分类的深CNN的集合
机译:胶质母细胞瘤多形体组织组织病理学图像基于疾病阶段分类,深CNN
机译:使用三维多参数MR成像功能对胶质母细胞瘤多种基因组亚型进行分类。
机译:利用深度卷积神经网络自动对胶质母细胞瘤形态病理图像进行疾病分期
机译:基于99MTC-TRODAT-1 SPECT图像的深度卷积神经网络分类帕金森病的多个阶段
机译:计算机轴向断层扫描和磁共振成像扫描随访两例患者的硼中子俘获治疗多形性胶质母细胞瘤。