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

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bcd-fastapi

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the fastapi framework 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-fastapi on the environments section and then click on view deployment or simply use the link https://bcd-fastapi.herokuapp.com/docs
  2. After opening the link click on GET ---> Try it out ---> Execute
  3. click on POST ---> Try it out enter the values for Radius_mean and Radius_texture and enter the method either as soft or hard. Below is an example
"Radius_mean": 10,
"Radius_texture": 9.8,
"Method": "soft"
  1. click on Execute

FlaskPyWebIO Version

For flaskPywebio integration version refer to bcd-FlaskPyWebIO

FlaskFlasgger and Streamlit framework Version

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

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

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