Brain Tumor Segmentation of MRI Images Using Processed Image Driven U-Net Architecture

Brain Tumor Segmentation of MRI Images Using Processed Image Driven U-Net Architecture

Brain tumor segmentation seeks to separate healthy tissue from tumorous regions. This is an essential step in diagnosis and treatment planning to maximize the likelihood of successful treatment. Magnetic resonance imaging (MRI) provides detailed information about brain tumor anatomy, making it an im...

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Bibliographic Details
Main Authors: Anuja Arora, Ambikesh Jayal, Mayank Gupta, Prakhar Mittal, Suresh Chandra Satapathy
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Computers
Subjects:
brain tumor segmentation
deep learning
U-Net
BraTs 2018
MRI
Online Access:https://www.mdpi.com/2073-431X/10/11/139

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https://www.mdpi.com/2073-431X/10/11/139

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