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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Autores principales: Anuja Arora, Ambikesh Jayal, Mayank Gupta, Prakhar Mittal, Suresh Chandra Satapathy
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
brain tumor segmentation
deep learning
U-Net
BraTs 2018
MRI
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/0ced71a1adad4606a45463ea5d442eda
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