🧠NeuroVision AI
AI-Powered Brain & Spine MRI Enhancement, Analysis and Segmentation
📌 Overview
NeuroVision AI is an intelligent medical imaging system designed to improve the analysis of Brain and Spine MRI scans. The project leverages Artificial Intelligence and Deep Learning to enhance MRI quality, preprocess medical images, perform automated segmentation, classify abnormalities, and assist radiologists with faster and more accurate diagnosis.
🎯 Objectives
- Enhance MRI image quality
- Standardize medical image preprocessing
- Automatically segment anatomical structures and lesions
- Assist disease classification using deep learning
- Generate interpretable AI predictions
- Build a scalable AI-assisted diagnostic pipeline
✨ Features
Stage 1 — Dataset Analysis
- Brain MRI dataset exploration
- Spine MRI dataset exploration
- Statistical analysis
- Data visualization
- Dataset split generation
Stage 2 — Image Preprocessing
- Image normalization
- Intensity scaling
- Noise reduction
- Image resizing
- Medical image transformations
- Data augmentation
Stage 3 — AI Model Development
- MONAI-based medical imaging framework
- Pre-trained deep learning models
- MRI feature extraction
- Disease classification
- Model training
- Performance evaluation
Stage 4 — Segmentation
- Automatic lesion segmentation
- Brain tumor segmentation
- Spine structure segmentation
- Pixel-wise prediction
- ROI extraction
Stage 5 — Explainable AI
- Model prediction visualization
- Activation heatmaps
- Explainable AI (XAI)
- Clinical interpretation support
🛠Tech Stack
| Category | Technologies |
|---|---|
| Language | Python |
| Deep Learning | PyTorch |
| Medical AI | MONAI |
| Image Processing | OpenCV |
| Scientific Computing | NumPy |
| Data Analysis | Pandas |
| Visualization | Matplotlib |
| Medical Image Handling | NiBabel |
| Notebook | Jupyter |
| Version Control | Git & GitHub |
🧠AI Pipeline
MRI Dataset
│
â–¼
Image Loading
│
â–¼
Preprocessing
│
â–¼
Image Enhancement
│
â–¼
Deep Learning Model (MONAI)
│
â–¼
Classification
│
â–¼
Segmentation
│
â–¼
Explainable AI
│
â–¼
Final Diagnostic Output
📊 Datasets
Brain MRI Dataset
- Multi-class Brain MRI images
- Glioma
- Meningioma
- Pituitary Tumor
- Normal Brain
Spine MRI Dataset
- Lumbar Spine MRI
- Vertebral structures
- Disc abnormalities
- Degenerative changes
📈 Future Enhancements
- 3D MRI Processing
- Multi-organ segmentation
- Clinical report generation
- Real-time MRI analysis
- Web-based deployment
- Cloud inference
- PACS integration
Log in or sign up for Devpost to join the conversation.