Differentiating Tumor and Edema in Brain Magnetic Resonance Images Using a Convolutional Neural Network

Differentiating Tumor and Edema in Brain Magnetic Resonance Images Using a Convolutional Neural Network

Purpose: Glioblastoma is the most common subset of glioma with a high grade of mortality. Early diagnosis may cause better therapeutic interventionsand brain MRI shows a good performance on tumor localization. Since manual tumor localization is time-consuming, an automatic tumor segmentation is usu...

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Bibliographic Details
Main Authors: Aida Allahverdi, Siavash Akbarzadeh, Alireza Khorrami Moghaddam, Armin Allahverdy
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2018-06-01
Series:Frontiers in Biomedical Technologies
Subjects:
Magnetic Resonance Image
Segmentation
Convolutional Neural Network
Glioblastoma
Online Access:https://fbt.tums.ac.ir/index.php/fbt/article/view/176

Internet

https://fbt.tums.ac.ir/index.php/fbt/article/view/176

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