机译:基于深度卷积神经网络的新生儿视网膜出血的新分级标准
Eye Hospital of Wenzhou Medical UniversityWenzhou Medical UniversityWenzhou China;
Department of Precision Machinery and InstrumentationUniversity of Science and Technology of;
Department of Precision Machinery and InstrumentationUniversity of Science and Technology of;
Eye Hospital of Wenzhou Medical UniversityWenzhou Medical UniversityWenzhou China;
Department of AutomationUniversity of Science and Technology of ChinaHefei China;
Eye Hospital of Wenzhou Medical UniversityWenzhou Medical UniversityWenzhou China;
Eye Hospital of Wenzhou Medical UniversityWenzhou Medical UniversityWenzhou China;
Department of Precision Machinery and InstrumentationUniversity of Science and Technology of;
Eye Hospital of Wenzhou Medical UniversityWenzhou Medical UniversityWenzhou China;
deep convolutional neural network; grading criterion; macula; retinal haemorrhages;
机译:基于深度卷积神经网络的新生儿视网膜出血的新分级标准
机译:使用复合卷积神经网络与RGB彩色空间分割和深卷积生成对抗网络相结合的枣的质量分级
机译:基于深度学习的视网膜液分割:三维全卷积神经网络在光学相干断层扫描图像中的应用
机译:利用卷积神经网络对新生儿脑电图缺氧缺血性脑病的严重程度进行分级
机译:基于卷积,长短时记忆,深度神经网络的非语言语音识别
机译:基于深度学习的视网膜液分割:三维全卷积神经网络在光学相干断层扫描图像中的应用
机译:基于深度学习的视网膜液分割:三维全卷积神经网络在光学相干断层扫描图像中的应用