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Current Signal Transduction Therapy

Editor-in-Chief

ISSN (Print): 1574-3624
ISSN (Online): 2212-389X

Research Article

A Survey of Deep Learning Based Methods in Medical Image Processing

Author(s): Yinglei Song*, Mohammad N.A. Rana, Junfeng Qu and Chunmei Liu

Volume 16, Issue 2, 2021

Published on: 13 December, 2019

Page: [101 - 114] Pages: 14

DOI: 10.2174/1574362415666191213145321

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.


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