A Sequential Machine Learning-cum-Attention Mechanism for Effective Segmentation of Brain Tumor

A Sequential Machine Learning-cum-Attention Mechanism for Effective Segmentation of Brain Tumor

Magnetic resonance imaging is the most generally utilized imaging methodology that permits radiologists to look inside the cerebrum using radio waves and magnets for tumor identification. However, it is tedious and complex to identify the tumorous and nontumorous regions due to the complexity in the...

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Bibliographic Details
Main Authors: Tahir Mohammad Ali, Ali Nawaz, Attique Ur Rehman, Rana Zeeshan Ahmad, Abdul Rehman Javed, Thippa Reddy Gadekallu, Chin-Ling Chen, Chih-Ming Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
VGG19
UNET
attention mechanism
brain tumor segmentation
MRI
BRATS
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.873268/full

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https://www.frontiersin.org/articles/10.3389/fonc.2022.873268/full

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