🧠 Brain Tumor Classification Using CNN and Channel Attention

This repository hosts the official materials and webpage for our published research article on brain tumor classification using deep learning.

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📄 Article Details

• Title: Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification
• Authors: Ali Naderi, Akbar Asgharzadeh-Bonab, Farid Ahmadi, Hashem Kalbkhani
• Journal: Complexity (Wiley)
• Published: June 2025
• DOI: 10.1155/cplx/1644859

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📚 Abstract

This paper presents a deep learning framework combining Convolutional Neural Networks (CNNs) with a Channel Attention Mechanism for effective multiclass classification of brain tumors using MRI images. The proposed model demonstrates high classification accuracy and robustness, making it suitable for aiding early-stage tumor diagnosis and treatment planning.

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🔗 Useful Links

• 📄 Read the article on Wiley
• 🌐 View HTML project page (once GitHub Pages is enabled)
• 📥 Download PDF of the article

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📌 Citation

Please cite our work using the following BibTeX entry:

@article{naderi2025cnn,
  title={Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification},
  author={Naderi, Ali and Asgharzadeh-Bonab, Akbar and Ahmadi, Farid and Kalbkhani, Hashem},
  journal={Complexity},
  year={2025},
  publisher={Wiley},
  doi={10.1155/cplx/1644859}
}