radiomics-features

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk

Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]

Official implementation of the Fréchet Radiomic Distance

Image processing tools for radiomics analysis

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

GPU-accelerated Python library for calculating radiomics features from medical images

High-performance, IBSI-compliant radiomics feature extraction in Julia, running seamlessly on CPU and GPU

Code to Implement the Smooth Euler Characteristic Transform (SECT)

A complete radiomics feature selection pipeline for binary classification tasks

Predict survival time from PET scans

Python implementation of topology descriptors which capture subtle sharpness and curvature differences along the surface of diseased pathologies on imaging.

Reference MATLAB and Python implementations of the RADISTAT algorithm

Deep brain stimulation outcome prediction using radiomics on quantitative susceptibility maps

Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks

The purpose of this GitHub repository is to provide a prototype for conducting radiogenomics research, particularly focusing on the interplay between imaging features and genomic profiles in glioblastoma patients.

CBIS-DDSM-R: A Curated Radiomic Feature Dataset for Breast Cancer Classification

Deep learning-inspired radiomics library tailored to habitat imaging.

Reproducibility of Ultrasound Radiomic Features: A Comparative Analysis of Image Acquisition Techniques in Breast and Thyroid Lesions