bMRI_analyzer - a demo website which provides doctors and nurses with a Patient Control Systems and an ML module for automatic brain MRI image tumour classification and segmentation.
Developed as coursework for my 3rd year of study, it combines the knowledge I received during my Web Programming, Distributed Systems, Python and DBMS courses. It's a containerized web application ready for deployment and scaling. Following technologies were used during its development:
- Python
- Flask
- FastAI
- Keras & Tensorflow
- SQL-Alchemy
- OpenCV
- MySQL
- HTML/CSS/JS
- Docker
Since the application is deployed via docker-compose, its structure can be viewed in the docker-compose.yml file. The general structure is the following:
DB structure can be described by:
Data Flow Diagram
Entity Relation Diagram
To run web application locally all you need is to clone the repository and run
$ docker-compose up --build
It will automatically install all dependencies and sequentially run all the containers needed for applications work.
Few screenshots describing application work
Homepage
Patients list
Image analysis results Page
