Implementation of 3d CNN-Based Brain Tumor Detection Article Swipe

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Bala Subramanian S , Anlin Sahaya Infant Tinu M , Aswin Kumar A , M Nandhitha , Y. Raghu Reddy , Dr.V. Mahavaishnavi ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.47392/irjaeh.2025.0263

Brain tumors are life-threatening neurological disorders that require early and precise diagnosis for effective treatment. Traditional manual MRI interpretation is time-consuming and prone to human error, making automated AI-based detection essential. This project presents an AI-driven detection system for brain tumors using 3D Convolutional Neural Networks (3D CNNs) applied to MRI scans. The model processes 2D MRI slices, reconstructs a 3D brain model, and classifies the presence of tumors with high accuracy. The dataset undergoes preprocessing steps such as normalization, resizing, and augmentation to enhance model performance. The deep learning model is trained and evaluated using performance metrics including accuracy, precision, recall, F1-score, and AUC-ROC to ensure reliable classification. The system also generates annotated 3D tumor visualizations, assisting radiologists in clinical decision-making. Experimental results show that the 3D CNN model significantly improves tumor detection accuracy, outperforming conventional 2D CNN approaches. This study highlights the potential of AI-based medical imaging for efficient, accurate, and automated brain tumor diagnosis in real-world clinical applications.

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Computer Science

Artificial Intelligence

Brain Tumor

Medicine

Histopathology

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Computer science Artificial intelligence Brain tumor Pattern recognition (psychology) Medicine Pathology

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Type: article
Language: en
Landing Page: https://doi.org/10.47392/irjaeh.2025.0263
PDF: https://irjaeh.com/index.php/journal/article/download/763/698
OA Status: diamond
Related Works: 10
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DOI: https://doi.org/10.47392/irjaeh.2025.0263

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Title: Implementation of 3d CNN-Based Brain Tumor Detection

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-04-28

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Authors: Bala Subramanian S, Anlin Sahaya Infant Tinu M, Aswin Kumar A, M Nandhitha, Y. Raghu Reddy, Dr.V. Mahavaishnavi

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Landing page: https://doi.org/10.47392/irjaeh.2025.0263

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PDF URL: https://irjaeh.com/index.php/journal/article/download/763/698

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Concepts: Computer science, Artificial intelligence, Brain tumor, Pattern recognition (psychology), Medicine, Pathology

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Cited by: 0

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