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ClinicSync

An automated AI based diagnosis delivery solution for the radiology domain.

Instructions

1. First download the model JSON and h5 files from the below link

https://drive.google.com/drive/folders/1j6XiDT5sx1nXa_jINgpBxOOIi_TridQM?usp=sharing

2. Create a folder called as models inside the clinicsync directory and add the JSON and h5 files inside it.

The final folder structure should look like this

ClinicSync
|- clinicsync
      |- inputimages
      |- models
          |- pneumonia_model.json
          |- pneumonia_model.h5
      |- static
      |- templates
      |- __init__.py
      |- utils.py
      |- views.py
|- ReadMe.md
|- requirements.txt
|- runserver.py

3. Install the required libraries

pip install -r requirements.txt

4. To run the server

python runserver.py

AGBI Digital HealthTech Grand Challenge

https://www.hackerearth.com/challenges/hackathon/agbi-digital-healthtech-grand-challenge/

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An automated AI based diagnosis solution for radiology domain

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