摘要深度学习能自动从大样本数据中学习获得优良的特征表达, 有效提升各种机器学习任务的
性能, 已广泛应用于信号处理, 计算机视觉和自然语言处理等诸多领域. 基于深度学习的医学影像 …

随着医学影像分析技术的快速发展和临床影像数据量的急剧增长, 如何快速准确地针对不同疾病
医学影像进行精确诊断, 分类和预后评估, 是现代医学工作者面临的重大挑战 …

摘要医学大数据主要包括电子健康档案数据(electronic health record, EHR),
医学影像数据和基因信息数据等, 其中医学影像数据占现阶段医学数据的绝大部分 …

Machine learning techniques are essential components of medical imaging research.
Recently, a highly flexible machine learning approach known as deep learning has …

Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

Medical imaging has taken decisive steps in diagnosing the diseases in the past few
decades. Many successful diagnosis systems have been developed, and however, there is …

Since its renaissance, deep learning has been widely used in various medical imaging tasks
and has achieved remarkable success in many medical imaging applications, thereby …

There is recent popularity in applying machine learning to medical imaging, notably deep
learning, which has achieved state-of-the-art performance in image analysis and …

Deep learning has been applied to clinical applications in not only radiology, but also all
other areas of medicine. This review provides a technical and clinical overview of deep …

In this paper, we investigate the literature around deep learning to identify its usefulness in
different application domains. Our paper identifies that the effectiveness of deep learning is …