cancer-imaging-research

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages

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

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

dcmqi (DICOM for Quantitative Imaging) is a C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

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

AI-based pathology predicts origins for cancers of unknown primary - Nature

[Nature Machine Intelligence 2024] Code and evaluation repository for the paper

The MAMA-MIA Dataset: A Multi-Center Breast Cancer DCE-MRI Public Dataset with Expert Segmentations

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

World's fastest DCE MRI analysis toolkit

PySERA – Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics

Probabilistic topic model for identifying cellular micro-environments.

Open source of Pyradiomics extension

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.

The AstroPath Pipeline was developed to process whole slide multiplex immunofluorescence data from microscope to database at single cell resolution.

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

Code accompanying our ICVGIP 2016 paper

Official repository for Characterization of tumor heterogeneity through segmentation-free representation learning on multiplexed imaging data

Implementation of PySERA in 3D Slicer

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