机译:学习用于图像分类的多实例深度判别模式
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China;
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China;
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China;
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China;
Feature extraction; Training; Support vector machines; Semantics; Image representation; Stochastic processes; Neural networks;
机译:RMDL:整个幻灯片胃图像分类重新校准多实例深度学习
机译:对极谱图像分类域适应域适应的对抗鉴别性积极深度学习
机译:多实例深度学习:发现有区别的局部解剖结构以识别身体部位
机译:深度多实例学习,诱导医学图像分类的自我关注
机译:培养深层模型的优化与基于深度学习的点云分析和图像分类
机译:多实例多标签学习对滑膜乳腺组织病理学图像进行多类分类
机译:基于深度学习的多尺寸和鉴别贴片分类乳腺癌组织学形象的分类