OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
- nci-itcr
- nci-qin
- quantitative-imaging
- imaging-informatics
60,121 visible repositories in the index
1–18 of 18 · Most stars
OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
Multi-platform, free open source software for visualization and image computing.
[Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
3D medical imaging reconstruction software
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
U-Net Brain Tumor Segmentation
C library for reading virtual slide images
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
Neural networks toolbox focused on medical image analysis
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
AI-based pathology predicts origins for cancers of unknown primary - Nature
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Interoperable web-based DICOM slide microscopy viewer and annotation tool
⚡ Open-source software for deep learning-based digital pathology
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats.