Liyuanzhe1993/Habitat-based-MRI-Radiomics-for-Enhanced-Parkinson-s-Diagnosis: Release v1.0.0: Habitat-based MRI Radiomics for Enhanced Parkinson's Diagnosis

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Authors: Liyuanzhe1993
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Abstract

This is the first official release containing all code and executable tools used in the study "Habitat-based MRI Radiomics for Enhanced Parkinson's Diagnosis". This version implements a complete habitat radiomics analysis pipeline for multi-center MRI data, designed to improve the diagnostic accuracy of Parkinson's Disease (PD). Key Updates Released a complete executable toolkit supporting N4 bias field correction, habitat clustering, and radiomic feature extraction. Provided full source code for multi-center habitat radiomics analysis. Included an R script for SVM model training and SHAP interpretability analysis. All tools are pre-compiled and ready to use (Windows/Linux compatible). File Description Due to GitHub file size limits (single file

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Parkinson's Disease Mechanisms and Treatments Functional Brain Connectivity Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 January 2026