A Survey of Deep Learning Based Methods in Medical Image Processing

(E-pub Ahead of Print)

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

Journal Name: Current Signal Transduction Therapy

Become EABM
Become Reviewer


Background: Recently, deep learning based methods have become an important approach to the accurate analysis of medical images.

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 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. In addition, an overview of challenges that currently exist in the field and potential directions for future research is provided in the end of the survey.

Keywords: Medical Image Processing, Deep Learning Models, Review, Convolutional Neural Networks, Recurrent Neural Networks

open access plus

Rights & PermissionsPrintExport Cite as

Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1574362415666191213145321

Article Metrics

PDF: 5