VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification

VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification

For the past few decades, brain tumors have had a substantial influence on human life, and pose severe health risks if not treated and diagnosed in the early stages. Brain tumor problems are highly diverse and vary extensively in terms of size, type, and location. This brain tumor diversity makes it...

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Bibliographic Details
Main Authors: Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Big Data and Cognitive Computing
Subjects:
bidirectional gated recurrent unit
brain tumor segmentation
convolutional architectures
graph convolutional neural network
histogram equalization
variational spatial attention mechanism
Online Access:https://www.mdpi.com/2504-2289/9/2/29
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