Department of Computer Science, Chubu University, 1200 Matsumoto-cho, Kasugai 487-8501, Japan;
Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan;
Department of Computer Science, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan;
Department of Computer Science, Chubu University, 1200 Matsumoto-cho, Kasugai 487-8501, Japan;
Department of Communication Engineering, Harbin University of Science and Technology, Harbin, China;
Department of Electronics Electrical Engineering IIT Guwahati, Guwahati 781039, India;
Department of Gastroenterology, Aichi Medical University, Nagakute, Aichi 480-1195, Japan;
Svm; Multiple classes; Defect candidate region; Defect classification;
机译:基于血管结构分析的息肉形状恢复
机译:使用两个光源从内窥镜图像中恢复息肉形状
机译:使用血管结构的非刚性运动内窥镜图像匹配方法
机译:使用血管信息从内窥镜图像中息肉的形状恢复
机译:血管的图像分割和形状分析及其在冠状动脉粥样硬化中的应用。
机译:蓝激光成像蓝光成像以及带发光二极管(LED)和LASER内窥镜的链接彩色成像的息肉检测和肿瘤表征功效
机译:息肉检测和肿瘤表征蓝色激光成像,蓝光成像和与发光二极管(LED)和激光内窥镜的连接彩色成像的疗效