Overview
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
Contributed across the full pipeline by annotating and segmenting MRI images for high-quality instance segmentation training data, integrating the trained Mask R-CNN model into a production-ready FastAPI backend for real-time inference, and designing the UI plus system integration between 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.