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July 5, 2026International Journal of Computers and Applications

Multimodal brain image fusion for neurological disease detection and classification: a comprehensive review

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Authors

MSMabasha ShaikSGSumit GuptaKBKancharagunta Kishan Babu

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Overview

Comprehensive review identifies advancements in brain disease classification methods, highlighting key challenges and implications.

Key Points

  • The review aims to analyze the impact of multimodal brain image fusion on neurological disease detection and classification.
  • Reviewed traditional image fusion methods and machine learning models.
  • Discussed various deep learning techniques including CNNs and transformer-based models.
  • Evaluated publicly available datasets and performance metrics for neurological diseases.
  • Multimodal fusion improves detection performance but may fail with misaligned or noisy data.
  • Identified challenges include modality alignment and computational cost in applying deep learning models.
  • Highlighted gaps in data availability and the need for scalable models in clinical settings.

Cite This Study

Shaik et al. (2026) studied this question.

synapsesocial.com/papers/6a49f464f5d1d45b287ffe00https://doi.org/10.1080/1206212x.2026.2690510
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