Automatic glioma segmentation based on adaptive superpixel

Automatic glioma segmentation based on adaptive superpixel

Abstract Background The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging. Methods The proposed method mainly includes three steps. F...

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Bibliographic Details
Main Authors: Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Medical Imaging
Subjects:
Glioma segmentation
Superpixel
MRI
Medical image processing
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12880-019-0369-6

Internet

http://link.springer.com/article/10.1186/s12880-019-0369-6

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