期刊
JOURNAL OF DIGITAL IMAGING
卷 32, 期 4, 页码 582-596出版社
SPRINGER
DOI: 10.1007/s10278-019-00227-x
关键词
Deep learning; Medical image segmentation; CNN; Organ segmentation
Deep learning-based image segmentation is by now firmly established as a robust tool in image segmentation. It has been widely used to separate homogeneous areas as the first and critical component of diagnosis and treatment pipeline. In this article, we present a critical appraisal of popular methods that have employed deep-learning techniques for medical image segmentation. Moreover, we summarize the most common challenges incurred and suggest possible solutions.
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