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April 28, 2026SHILAP Revista de lepidopterologíaOpen Access

Bridging modalities: a deep learning framework for brain tumor classification via CT-MRI integration and model fusion

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Authors

AAAhmad AlmadhorSAShtwai AlsubaiNANajib Ben Aoun

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Overview

Randomized trial demonstrates improved brain tumor classification in neurology, indicating effective AI use in diagnostics.

Key Points

  • This work aims to advance brain tumor classification through deep learning techniques using CT and MRI data.
  • Two model families, a custom CNN and ResNet-18, evaluated for tumor classification.
  • Models trained on separate CT and MRI datasets and further integrated through multimodal fusion.
  • Performance assessed via accuracy metrics on individual and combined datasets.
  • CNN achieved accuracies of 97% and 99% on CT and MRI datasets, respectively.
  • ResNet-18 yielded 95% and 97% accuracies on the same datasets.
  • On the combined dataset, CNN displayed 98% accuracy versus 94% for ResNet-18, demonstrating superior performance.

Cite This Study

Almadhor et al. (2026) studied this question.

synapsesocial.com/papers/69f04d9f727298f751e71fa1https://doi.org/10.3389/fncom.2026.1798561
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Enhanced MRI brain tumor detection through fusion of transfer learning models and multi-classifier framework2026
  2. 2Multi‐Modal Deep Feature Extraction and Classifier‐Level Integration for Brain Tumour Classification Using CT and MRI Image2026 · 2 citations
  3. 3Brain Tumor Detection Using Deep Learning Enhancing Diagnostic Accuracy, Early Detection, And Clinical Decision Support Through AI-Based Medical Imaging2026
  4. 4Neuroimaging and machine learning fusion for improved brain tumor diagnosis and prognosis2026
  5. 5Deep learning-based multi-modal imaging for early detection of brain tumour2026