Douwe-Spaanderman/LipoRadiomics: v1.0 – Lipomatous Tumor Classification with Radiomics

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Authors: Douwe J. Spaanderman
Cited by: 0

Abstract

This release contains the code used in our published study on multi-center external validation of automated segmentation and radiomics-based classification of atypical lipomatous tumors versus lipomas on MRI. It includes baseline imaging experiments, external validation across international cohorts, clinical-only models, and combined clinical-imaging analyses, all accessible via a unified command-line interface. The repository is intended for research and reproducibility; no data are included. If you use this code, please cite Spaanderman DJ et al., eClinicalMedicine (2024), DOI: 10.1016/j.eclinm.2024.102802.

Fields of Study & Subjects

Radiomics and Machine Learning in Medical Imaging Medical Image Segmentation Techniques Soft tissue tumors and treatment

Publication details

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