Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases

Inductive and Transfer Learning‐Based Hybrid Model Techniques for Accurate and Automated Diagnosis of Neurological Diseases

ABSTRACT Purpose This study presents NeuroDL, a novel deep learning‐based diagnostic framework designed for the automated detection of brain tumors and Alzheimer's disease (AD) using magnetic resonance imaging (MRI). The objective is to enhance diagnostic precision and efficiency in neurology t...

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Bibliographic Details
Main Authors: Saroj Kumar Pandey, Yogesh Kumar Rathore, Sunakshi Mehra, Anurag Sinha, Tarun Raj Kumar, Ankit Kumar, Rekh Ram Janghel, Ayodele Lasisi, Quadri Noorulhasan Naveed, Md. Sazid Reza
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Brain and Behavior
Subjects:
AI
Alzheimers
deep learning
inductive learning
NeuroDL
transfer learning
Online Access:https://doi.org/10.1002/brb3.70788
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