This repository provides tools to streamline the preparation of healthcare imaging datasets for ML applications. It includes routines for pre-processing tasks and facilitates patient-level data splitting for model training and evaluation. This repository contains Python routines for preprocessing patient imaging data for machine learning applications.
data_preprocessing.py- A data preprocessing function that inputs a folder with patient data organized in sub-flders to generate a patient-level test-train split of dataimagesieviewer.py- An Py Qt window to view the pixels identity of an image , helps in identifying the crop points for image post-processing- ... (other files as I develop the project)
All the requirements have been put in the requirements.txt file
pip install -r requirements.txt