/windowed-conformal-model

Conformal Model for Predicting Interestingness of Microscopy Images based on Windowed Analysis of Image Features

Primary LanguagePython

Conformal Model for Predicting Interestingness of Microscopy Images based on Windowed Analysis of Image Features

  • Intended for the HASTE Storage Client (https://github.com/HASTE-project/HasteStorageClient)
  • Analyzes a window of microscopy images for a well-substream
  • Queries the HASTE feature database (MongoDB) to retrieve those features
  • Performs conformal prediction based on image features
  • Applies specified confidence level to return a binary decision.

Usage:

See example.py

Installation:

$ pip3 install git+ssh://git@github.com/HASTE-project/windowed-conformal-model.git@master

or

git clone https://github.com/HASTE-project/windowed-conformal-model.git
cd windowed-conformal-model
pip3 install -e .

Contributors

Ben Blamey