机译:基于深度学习的培养数据大小对乳腺癌病理检测的影响研究
Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Date Based Precis Med Beijing Peoples R China;
Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Date Based Precis Med Beijing Peoples R China;
Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Date Based Precis Med Beijing Peoples R China;
Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Date Based Precis Med Beijing Peoples R China;
Beihang Univ Sch Instrumentat Sci & Optoelect Engn Beijing Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Date Based Precis Med Beijing Peoples R China;
feature extraction; learning (artificial intelligence); medical image processing; patient diagnosis; cancer; neural nets; image classification; training data set; training set; pathology computer-assisted breast cancer analysis system; different pathological images; training data size; breast cancer pathology detection; pathological diagnosis; deep learning-based computer-assisted pathology analysis systems;
机译:数据集大小对头部和颈部癌症的深度学习自动分割的影响
机译:数字化乳房断层合成中的乳腺癌诊断:训练样本量对使用深层神经网络进行多阶段转移学习的影响
机译:分区:乳腺癌组织病理学图像中有丝分裂检测的部分监督的深度学习框架
机译:基于深度学习的培养数据大小对乳腺癌病理检测的影响研究
机译:使用深度学习模型评估用于地面穿透雷达数据的对象检测的综合训练数据和训练数据增强技术
机译:基于深度学习的肿瘤相关口气在组织学影像学诊断中的诊断
机译:深度学习的肝细胞癌组织病理学图像分类:准确性与训练数据集大小