BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network

Efficient segmentation of Magnetic Resonance (MR) brain tumor images is of the utmost value for the diagnosis of tumor region. In recent years, advancement in the field of neural networks has been used to refine the segmentation performance of brain tumor sub-regions. The brain tumor segmentation ha...

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Bibliographic Details
Main Authors: Mobeen Ur Rehman, SeungBin Cho, Jeehong Kim, Kil To Chong
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Diagnostics
Subjects:
medical imaging
semantic segmentation
brain tumor
diagnostics
Feature Enhancer (FE)
Magnetic Resonance (MR) Images
Online Access:https://www.mdpi.com/2075-4418/11/2/169

Internet

https://www.mdpi.com/2075-4418/11/2/169

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