Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
University of Technology Sydney
Indexed incrossrefpubmed
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.
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Authors
4Topics & keywords
Topics
Keywords
- Artificial intelligence
- Deep learning
- Computer science
- Segmentation
- Pipeline (software)
- Image segmentation
- Homogeneous
- Segmentation-based object categorization
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