Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction

Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction

Abstract Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage. This study presents two approaches to the tumor detection problem focusing on the...

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Bibliographic Details
Main Authors: D. Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar, Nilkanth Deshpande, Shilpa Gite
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Brain tumor diagnosis
Deep learning
Explainable artificial intelligence
LIME
Magnetic resonance imaging
Online Access:https://doi.org/10.1038/s41598-025-06455-2
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https://doi.org/10.1038/s41598-025-06455-2

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