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Pipeline to process images with CNN: NACHOS and DACHOS. From the paper under writing "Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models"

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Medical Imaging Framework

Installation

This package doesn't need to be installed. However, it requires for command lines to be run from the directorymif_outer/scripts. More information in the Instructions.

Python Dependencies

This package was tested on Tensorflow 2.6.2 and Python 3.8.15 .All requirement needed can be found in requirements.txt

Software requirements

This package is supported for Linux. The package has been tested on Linux: Ubuntu 20.04.6 LTS

Instructions

Paper experiments:

Data Split:

Logs training and validation for paper

  • The training and validation accuracies for all epochs used for experiments in the paper can be in results/HPO

Data

The data used in the paper can be found in Zenodo.

License

This project is covered under the MIT License.

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Pipeline to process images with CNN: NACHOS and DACHOS. From the paper under writing "Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models"

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