Automatic three‐dimensional detection and volume estimation of low‐grade gliomas-Reference-Cited by-同舟云学术

Automatic three‐dimensional detection and volume estimation of low‐grade gliomas

Published:2021-02-20 Issue:3 Volume:31 Page:1678-1691
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Boudrioua Asma¹^ORCID,Aloui Abdelouahab¹,Solaiman Basel²,Asli Larbi³,Ben Salem Douraied⁴,Tliba Souhil⁵

Affiliation:

1. Laboratory of Medical Informatics, LIMED, Université de Bejaia Bejaia Algeria

2. Image and Information Processing Department IMT Atlantique Brest France

3. Applied Sciences Faculty University of Bejaia Béjaïa Algeria

4. Laboratory of Medical Information Processing (LaTIM) Brest France

5. Neurosurgery Department University Hospital Center, University of Abderrahmane Mira of Bejaia, Research Laboratory: Biological Engineering of Cancers Bejaia Algeria

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22557

Reference28 articles.

1. Introduction to The 2015 World Health Organization Classification of Tumors of the Lung, Pleura, Thymus, and Heart

2. Seizure burden pre- and postresection of low-grade gliomas as a predictor of tumor progression in low-grade gliomas

3. Semi-automatic Method for Low-Grade Gliomas Segmentation in Magnetic Resonance Imaging

4. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching

5. Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance

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