HepaScan AI.
A deep learning-based web app for detecting and analyzing liver tumors in medical images.
01Overview
HepaScan AI is a user-friendly web application designed to detect and analyze liver tumors in medical images using deep learning techniques. Built with Python and Django, the platform allows users to upload CT scan images, detects the presence and stage of tumors, highlights tumor regions, and provides a percentage estimate of the affected area. With clear visual outputs and a seamless UI, it supports radiologists and researchers in faster and more accurate diagnostics.
02Key Features
- 01
Upload and analyze liver CT scan images
- 02
Deep learning-based tumor detection
- 03
Stage classification and region localization
- 04
Percentage-based visualization of affected area
- 05
Clear and separate tumor visualization for interpretation
- 06
Admin login and secure access flow
- 07
Simple local deployment via run.bat
03Challenges
Ensuring precise detection and region mapping with a limited dataset was a major challenge. Maintaining consistent results across different image qualities and integrating visualization outputs into a seamless Django web interface required extensive preprocessing and model tuning.