Project Video Showcase
Brain Tumor Prediction and Segmentation Using CNN
Project Synopsis & Overview
This project aims to develop an automated deep learning system for brain tumor prediction and segmentation from MRI images using Convolutional Neural Networks (CNN). The system processes MRI brain images through image processing and preprocessing techniques such as resizing, grayscale conversion, noise reduction, normalization, histogram equalization, and skull stripping. CNN or U-Net-based segmentation is used to identify and localize the tumor region. The segmented tumor region is then analyzed for classification and severity prediction. A Python-based GUI using Tkinter can be used to provide the prediction results. The system is designed to assist medical professionals by reducing manual analysis time and supporting brain tumor diagnosis and treatment planning.
Complete Technical Specifications
| Project ID | 1CP0633 (DB ID: 633) |
| Project Title | Brain Tumor Prediction and Segmentation Using CNN |
| Domain Division | Python |
| Sub-Domain / Tech | Deep Learning |
| IEEE Year | 2026 |
| Package Price | ₹6500 |
| Created Date | Sep 17, 2026 |
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