GI Tract Image Segmentation Flutter App

First of all, shout out to @Arlendious for providing the Deep Learning Model.

The GI Tract Image Segmentation Flutter App is a medical application designed to assist healthcare professionals in segmenting MRI scans of the gastrointestinal tract. This automated tool uses machine learning to identify areas that require surgical intervention, ensuring a more efficient and precise approach to cancer treatment.

You can download the apk from the Release Section.

Key Features

User Authentication: Healthcare professionals can sign up and log in using their organization email addresses, which are hardcoded for security. Email verification is implemented via OTP.

Dashboard: Users have access to a user-friendly dashboard where they can upload MRI scans for segmentation.

Automated Image Segmentation: The app uses a machine learning model to automatically segment MRI scans and identify areas that require surgical attention.

Secure Data Storage: All segmented images are securely stored in phone storage for future reference.

Tech Stack

Flutter: A popular open-source framework for building natively compiled applications for mobile, web, and desktop from a single codebase.

FastAPI: A modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Azure Cloud: Provides cloud-based services for machine learning model deployment and scalability.

Docker: Used for containerization and packaging the application for easy deployment.

Firebase: Provides user authentication and OTP verification.

Firestore: A NoSQL database for storing and managing user data and segmented images.

Demo

Demo.mp4

Getting Started

1. Clone this repository to your local machine. Or simply download the apk version.

git clone https://github.com/duckcommit/GI_Tract_Image_Segmentation_Flutter_App.git

2. Install the necessary dependencies

  flutter pub get

3. Run the app

  flutter run

It is note that the app might not work if the Azure Cloud services are facing any issues. Hit me up for enabling my private cloud.

Need Help? 🔗 Link

Feel free to contact for any help or if you wish to collaborate.