🧠 AI-Powered Tumor Detection — Advancing Medical Imaging with AI
Overview
AI-Powered Tumor Detection is a cloud-based project built in Azure Machine Learning Studio that identifies tumors from MRI and CT scans. The model was trained using PyTorch and TensorFlow for image classification, with Azure ML Datasets, Blob Storage, and MLTable pipelines used for data organization and preprocessing. Multi-class labeling and data augmentation techniques improved accuracy and model performance.
Vision
This project aims to demonstrate how artificial intelligence can support early cancer detection through fast, accurate, and automated medical image analysis. It highlights the potential of AI in healthcare to make diagnostics more efficient and accessible.
Tech Stack
- Azure Machine Learning
- PyTorch
- TensorFlow
- Python
- OpenCV
- MLTable
- Blob Storage
Data
MRI + CT imaging with augmentation
Labels
Multi-class classification
Pipelines
Azure ML + MLTable