NeuraScan - Brain MRI Tumor Segmentation

NeuraScan is an AI-driven web application that detects brain tumors from MRI scans using Mask R-CNN, designed to support early and accessible diagnosis through a practical clinical workflow.

Problem to Solve

Build an end-to-end clinical support tool that improves early diagnosis accessibility by turning MRI analysis into a fast, accurate, and easy-to-use web application for real users.

Solution Approach

The work covered the complete product pipeline:

1. Annotating and segmenting MRI images for high-quality instance segmentation training data.
2. Training a Mask R-CNN model to identify and segment tumor regions.
3. Integrating the model into a FastAPI backend for real-time inference.
4. Designing the interface and connecting the model, backend services, and frontend experience.

Impact

Delivered an end-to-end system from data preparation to deployment with accurate and responsive segmentation output, reducing the gap between deep learning research and clinically usable tooling.

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Demo