bcd-FlaskPyWebIO

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the Flask framework integrated in PyWebIO with deployment on Heroku platform as a service cloud.

How to use

To diagnose breast cancer disease and return the confidence of the diagnosis,

1. click on the bcd-FlaskPyWebIO on the environments section and then click on view deployment or simply use the link https://bcd-flaskpywebio.herokuapp.com/
2. After opening the link, enter the value for Radius_mean and click on submit to proceed or reset to enter new value
3. Enter the value for Radius_texture and and click on submit to proceed or reset to enter new value
4. Select the method to proceed and click on submit

FastAPI framework Version

For fastapi framework deployment version refer to bcd-fastapi

FlaskFlasgger and Streamlit framework Version

For Flask framework with Flasgger as well as Streamlit version: bcd-flaskflasgger

Advance Inclusions

For advanced breast cancer diagnosis, utilizing a multiple reject classification strategy for improving the reliability of diagnosis, the class-related confidence thresh-holds determined by the implementation of the CRT algorithm where users want low rejection rate and high reliability has been shown empirically in Multiple Reject Classification Strategy