OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
- nci-itcr
- nci-qin
- quantitative-imaging
- imaging-informatics
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OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
⚡High Performance DICOM Medical Image Parser in Go.
Spatial Single Cell Analysis in Python
Vision-Language Pathology Foundation Model - Nature Medicine
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Tools for computational pathology
Automated 3D cell detection in very large images
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
Open-source software for exploring and analyzing large, high-dimensional image-derived data.
Python package for image-based profiling
A tool for cell instance aware segmentation in densely packed 3D volumetric images
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources