Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
Top Cited Papers
Open Access
- 29 May 2019
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Digital Imaging
- Vol. 32 (4), 582-596
- https://doi.org/10.1007/s10278-019-00227-x
Abstract
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.Keywords
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