Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture

Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture

Brain tumours (BTs) are among the most dangerous and life-threatening cancers in humans of all ages, and the early detection of BTs can make a huge difference to their treatment. However, grade recognition is a challenging issue for radiologists involved in automated diagnosis and healthcare monitor...

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Bibliographic Details
Main Authors: Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
MRI
brain tumour
glioma detection
segmentation
classification
Online Access:https://www.mdpi.com/2306-5354/12/5/552
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