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
radiomics 开源项目推荐(186 个)
radiomics 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 186 个仓库Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
Slicer扩展,提供围绕放射性组学的图形用户界面
The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations
Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
Medical Image Radiomics Processor
Hand-crafted radiomics and deep learning-based radiomcis features extraction.
(Latest semester at https://github.com/kmader/Quantitative-Big-Imaging-2019) The material for the Quantitative Big Imaging course at ETHZ for the Spring Semester 2018
Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.
The easiest tool for experimenting with radiomics features.
Clinically-Interpretable Radiomics [MICCAI'22, CMPB'21]
Easylearn is designed for machine learning mainly in resting-state fMRI, radiomics and other fields (such as EEG). Easylearn is built on top of scikit-learn, pytorch and other packages. Easylearn can assist doctors and researchers who have limited coding experience to easily realize machine learning, e.g., (MR/CT/PET/EEG)imaging-marker- or other…
Official implementation of the Fréchet Radiomic Distance
Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.
Image processing tools for radiomics analysis
Open source of Pyradiomics extension
该项目在 GitHub 上没有填写描述
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.
该项目在 GitHub 上没有填写描述
GPU-accelerated Python library for calculating radiomics features from medical images
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/radiomics。
- 该话题在 GitHub 上共有 186 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2599 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。