Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic;
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic;
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic;
Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Technicka 12, 616 00, Brno, Czech Republic;
Department of Ophthalmology, Friedrich-Alexander-University Erlangen-Nuernberg, Schwabachanlage 6, 91054 Erlangen, Germany;
(Imaging Systems); (Digital image processing); (Image analysis); (Pattern recognition); (Medical optics instrumentation);
机译:逐帧Wi-Fi攻击检测算法可扩展和模块化机器学习设计
机译:使用机器学习算法从其数字扭曲的微内交织图的聚合物纤维的光学机械性能的原位调查和检测
机译:基于机器学习的失真图像显着性检测框架
机译:通过机器学习检测视网膜视频序列中的扭曲帧
机译:结合了机器学习和基于图的框架,可对SD-OCT图像中的视网膜结构进行3-D自动分割。
机译:机器学习应用于视网膜图像处理的青光眼检测:回顾与展望
机译:教学计算机编写新闻编码框架:比较两种监督机器学习方法与框架分析