Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM

Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM

BackgroundBrain tumor categorization on MRI is a challenging but crucial task in medical imaging, requiring high resilience and accuracy for effective diagnostic applications. This study describe a unique multimodal scheme combining the capabilities of deep learning with ensemble learning approaches...

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Bibliographic Details
Main Authors: Saravanan Chandrasekaran, S. Aarathi, Abdulmajeed Alqhatani, Surbhi Bhatia Khan, Mohammad Tabrez Quasim, Shakila Basheer
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
Subjects:
brain tumor classification
multi-modal learning
VGG19
bidirectional LSTM
LightGBM
MRI imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1574428/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1574428/full

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