Deep Learning Techniques for Medical Image Segmentation

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges - 2019

Research Area: Machine Learning

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:

Author(s) Name: Mohammad Hesam Hesamian, Wenjing Jia, Xiangjian He & Paul Kennedy

Journal name: Journal of Digital Imaging

Conferrence name:

Publisher name: Springer

DOI: 10.1007/s10278-019-00227-x

Volume Information: volume 32, pages: 582–596 (2019)

Paper Link: https://link.springer.com/article/10.1007/s10278-019-00227-x

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