A multi-label classification model for full slice brain computerised tomography image

A multi-label classification model for full slice brain computerised tomography image

Abstract Background Screening of the brain computerised tomography (CT) images is a primary method currently used for initial detection of patients with brain trauma or other conditions. In recent years, deep learning technique has shown remarkable advantages in the clinical practice. Researchers ha...

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Bibliographic Details
Main Authors: Jianqiang Li, Guanghui Fu, Yueda Chen, Pengzhi Li, Bo Liu, Yan Pei, Hui Feng
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
Bioinformatics
Brain computerised tomography
Machine learning
Deep learning
Computer aided diagnosis
Online Access:http://link.springer.com/article/10.1186/s12859-020-3503-0

Internet

http://link.springer.com/article/10.1186/s12859-020-3503-0

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