Скачать или смотреть AI-Powered Brain Tumor Segmentation | Grad-CAM | 2D & 3D MRI Visualization | Deep Learning Project

In this video, we present a live demonstration of our AI-based brain tumor segmentation system developed using deep learning techniques. This project leverages a hybrid model combining Convolutional Neural Networks (CNN) and Vision Transformers (ViT) to analyze MRI scans and accurately detect brain tumors.

What you’ll see in this demo:

Loading of MRI scan input images from a medical dataset
Execution of model code inside Jupyter Lab
Real-time tumor segmentation results
Grad-CAM heatmaps to visualize the model’s focus area
Generation of 2D and 3D volumetric images of brain tumors
Use of GAN-based data augmentation to boost model performance
This project is ideal for students, researchers, and AI enthusiasts interested in applying machine learning to medical imaging. The Grad-CAM output provides transparency, and the volumetric imaging offers critical clinical insight.

Tools & Frameworks Used:

Python, Jupyter Lab
CNN + Vision Transformer Hybrid Model
GAN for Data Augmentation
Grad-CAM for Explainability
Matplotlib/Plotly for 3D Visualization