Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.
- Publication Type:
- Journal Article
- J Digit Imaging, 2019
- Issue Date:
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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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