Brain Tumor Detection using Deep Learning

Brain Tumor Detection using Deep Learning Only Document

Youtube link: https://youtu.be/-uzwKfRt6DU?si=FQMP4FxBf5ipgQxS

Abstract

This project presents a deep learning-based approach for automatic detection of brain tumors from magnetic resonance imaging (MRI) scans. Utilizing convolutional neural networks (CNNs) and transfer learning techniques, we develop a computer-aided diagnosis (CAD) system that can accurately segment and classify brain tumors. Our results demonstrate the potential of deep learning algorithms in improving diagnostic accuracy and reducing false positives in brain tumor detection.

Keywords Brain Tumor Detection, Deep Learning, Convolutional Neural Networks (CNNs), Transfer Learning, Magnetic Resonance Imaging (MRI), Computer-Aided Diagnosis (CAD), Medical Imaging Analysis, Neuro-Oncology, Artificial Intelligence (AI) in Healthcare.

Project include:

1. Synopsis

2. PPT

3. Research Paper

4. Code

5. Explanation video

6. Documents

7. Report

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