Title

Application of Deep Learning in Imaging diagnosis of Brain diseases

Authors

Junchen Liang, Xi'an Jiaotong University
Zhaoze Wang, Wenzhou-Kean University
Xiangyang Ye, Jilin University

Document Type

Conference Proceeding

Publication Date

1-1-2021

Abstract

The brain is one of the most important parts of the human body, and the diagnosis of its diseases is of great significance to the treatment of diseases. With the rapid development of deep learning in recent years, its automatically extracted image features have significant advantages compared to traditional artificially extracted features. Therefore, more and more recognition methods based on deep learning are widely used in medical image recognition tasks (such as CT, MRI, PET-CT.). This paper will introduce the application of traditional methods and deep learning methods in various brain diseases. These methods are compared, analyzed, and summarized, then we explored their development status and future development trends.

Publication Title

Proceedings - 2021 3rd International Conference on Machine Learning, Big Data and Business Intelligence, MLBDBI 2021

First Page Number

166

Last Page Number

175

DOI

10.1109/MLBDBI54094.2021.00040

Recommended Citation

Liang, Junchen; Wang, Zhaoze; and Ye, Xiangyang, "Application of Deep Learning in Imaging diagnosis of Brain diseases" (2021). Kean Publications. 1030.
https://digitalcommons.kean.edu/keanpublications/1030