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

Hand-crafted radiomics and deep learning-based radiomcis features extraction.

A multipurpose tool for medical physics.

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

This is a complete guide on how to do Pyradiomics based feature extraction and then, build a model to calculate the grade of glioma.

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

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.

DICOM Extraction for Large-scale Image Analysis (DELIA).

Python Open-source package for medical images processing and radiomics features extraction.

Code to Implement the Smooth Euler Characteristic Transform (SECT)

Reference MATLAB and Python implementations of the RADISTAT algorithm

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

Helpful scripts for radiomics researchers. Collect all the DICOM metadata into .csv and .pkl files which can be used to scrutinize/ inspect your data. Crate an organized DICOM directory from an existing folder. Automatically extract radiomic features from a directory of DICOM files.

3D Slicer Extension Implementation the CoLlAGe radiomics descriptor

Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks

Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R

Pulmonary Nodule Classification Software 🫁

A Novel Multiresolution-Statistical Texture Analysis Architecture: Radiomics-Aided Diagnosis of PDAC Based on Plain CT Images

Calculate 43 texture features of a 2D or 3D image