Medical Diagnosis Webapp

Web based tool for doctors to detect various type of disease like

• Skin cancer
• Pneumonia
• Breast Cancer etc.

Demo

3 step Demo:

• Select the demo
• Upload the image
• See the results

Lots of plan to choose from

Features

• Intutive trainig process
• High accuracy using deep learning models in both keras and tensorflow
• Highly scalable solution using tensorflow serving
• Dockers to elemenate dependency issues
• Ready to deploy solution on heroku

Framwork and tools used

• Flask
• SQLAlchemy
• Keras and tensorflow
• Scikit-learn
• Tensorflow serving
• Bootstrap

Quick Run on local environment

• clone the repo
• pip install requirement.txt
• python manager.py initdb
• python manager.py runserver

References and others open-source work used

• https://github.com/alectrocute/flaskSaaS
• https://www.kaggle.com/dipeshpoudel/machine-learning-with-breast-cancer-data
• https://www.tensorflow.org/tfx/serving/api_rest
• https://towardsdatascience.com/deploying-keras-models-using-tensorflow-serving-and-flask-508ba00f1037