cad4cervical_cancer

Computer Aided Detection/Diagnosis for Cervical Cancer

Installation

1. In the project root directory run npm install to install server dependencies
2. Change to the client directory with cd client and run npm install to install client dependencies
3. For ml server dependencies install;
   • python 3.6
   • flask
   • pandas
   • numpy
   • opencv-python
   • pickle
   • tensorflow 2.1

Usage

Open a separate terminal for each of the following and run simultaneously

App Server

In project root folder run npm start The server connects to a cloud database, if a local database is to be used, change the db connection in config file

ML Server

Change to ml directory cd ml_engine then run python app.py to start the server

Client

Change to client directory cd client then run npm start This will open a browser tab with a login screen Note: patient IDs can be retrieved from the database if using existing private cloud database use existing patients; PatientID 1: 5e5ffc4d64acde42e7517f4f PatientID 2: 5f22827f0697006bbd4819c7

For admin;

1. Login with credentials username: admin password: password
2. Register new staff or patient

For consultation;

1. Login with credentials username: kangel password: password
2. Search for a patient with ID: 5e5ffc4d64acde42e7517f4f
3. Fill in consultation form (if patient has pending consulation it will open it)
4. Save then go to lab
5. After getting lab results search for patient again and get diagnosis (button)
6. Diagnosis can be seen in diagnosis tab.
7. Save

For lab;

1. Login with credentials username: kalice password: password
2. Search for patient with ID: 5e5ffc4d64acde42e7517f4f (same as for consultation)
3. Fill in lab results and save

For pap-smear test;

1. Login with credentials username: ksarah password: password
2. Search for a patient with ID: 5e5ffc4d64acde42e7517f4f
3. Upload pap-smear image, diagnosis is automatically retrieved
4. Save