Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

Journal of Digital Imaging
Mohammad Hesam HesamianPaul Kennedy


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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