Abstract
Introduction: Recently, deep learning based methods have become an important approach to the accurate analysis of medical images.
Materials and Methods: This paper provides a comprehensive survey of the most important deep learning based methods that have been developed for medical image processing. A number of important contributions made in the last five years are summarized and surveyed.
Results: Specifically, deep learning-based algorithms developed for image segmentation, image classification, registration, object detection and other important problems are reviewed.
Conclusion: In addition, an overview of challenges that currently exist in the field and potential directions for future research is provided at the end of the survey.
Keywords: Medical image processing, deep learning models, review, convolutional neural networks, recurrent neural networks, fitting lines.
Current Signal Transduction Therapy
Title:A Survey of Deep Learning Based Methods in Medical Image Processing
Volume: 16 Issue: 2
Author(s): Yinglei Song*, Mohammad N.A. Rana, Junfeng Qu and Chunmei Liu
Affiliation:
- School of Electronics and Information Science, Jiangsu University of Science and Technology, Zhenjiang, 212003,China
Keywords: Medical image processing, deep learning models, review, convolutional neural networks, recurrent neural networks, fitting lines.
Abstract:
Introduction: Recently, deep learning based methods have become an important approach to the accurate analysis of medical images.
Materials and Methods: This paper provides a comprehensive survey of the most important deep learning based methods that have been developed for medical image processing. A number of important contributions made in the last five years are summarized and surveyed.
Results: Specifically, deep learning-based algorithms developed for image segmentation, image classification, registration, object detection and other important problems are reviewed.
Conclusion: In addition, an overview of challenges that currently exist in the field and potential directions for future research is provided at the end of the survey.
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Cite this article as:
Song Yinglei *, Rana N.A. Mohammad , Qu Junfeng and Liu Chunmei , A Survey of Deep Learning Based Methods in Medical Image Processing, Current Signal Transduction Therapy 2021; 16 (2) . https://dx.doi.org/10.2174/1574362415666191213145321
DOI https://dx.doi.org/10.2174/1574362415666191213145321 |
Print ISSN 1574-3624 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-389X |
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