Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer

Olivia Prior, MSc • Carlos Macarro, MSc • Víctor Navarro, BSc • Camilo Monreal, MSc • Marta Ligero, MSc • Alonso Garcia-Ruiz, MSc • Garazi Serna, PhD • Sara Simonetti, MD, PhD • Irene Braña, MD, PhD • Maria Vieito, MD, PhD • Manuel Escobar, MD • Jaume Capdevila, MD • Annette T. Byrne, MD, PhD • Rodrigo Dienstmann, MD • Rodrigo Toledo, PhD • Paolo Nuciforo, MD, PhD • Elena Garralda, MD, MSc • Francesco Grussu, PhD • Kinga Bernatowicz, PhD* • Raquel Perez-Lopez, MD, PhD*

[DOCUMENTATION UNFINISHED. WORK IN PROGRESS... ]

This repository contains all codes necessary to reproduce the study "Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer", published in Radiology:Artifical Intelligence (2024). You can find the published paper here: https://pubs.rsna.org/doi/10.1148/ryai.230118.

The "paper" folder contains unedited versions of the paper and supplementary materials.

Poner erratum (see below)

Below you can find indications on (A) how to reproduce the study and (B) how to use the codes independently for specific parts of your research.

A) How to reproduce this study

B) Using specific codes

Extracting 3D features with pyradiomics

Work in #progress

Computing habitats

Work in progress

Repetability and reproducibility analyses

Work in progress.

Citation:

If you find any of these codes useful for your research and applications, please cite us: Prior O, Macarro C, Navarro V, et al. Identification of Precise 3D CT Radiomics for Habitat Computation by Machine Learning in Cancer. Radiol Artif Intell. 2024;6(2):e230118.

If you have questions please contact Dr. Raquel Perez-Lopez ([email protected]) or Olivia Prior ([email protected]).

You can find more information of our group here and more info about VHIO here.