OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages
- nci-itcr
- nci-qin
- quantitative-imaging
- imaging-informatics
Repository Index
47,133 repositories indexed
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Multi-platform, free open source software for visualization and image computing.
- medical-imaging
- vtk
- itk
- python
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
⚡High Performance DICOM Medical Image Parser in Go.
- dicom
- dicom-images
- golang
- golang-library
Pathology Foundation Model - Nature Medicine
- foundation
- foundation-model
- histopathology
- mahmoodlab
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Clinical Histopathology Imaging Evaluation Foundation Model
Vision-Language Pathology Foundation Model - Nature Medicine
- bioimage-analysis
- bioimage-informatics
- conch
- foundation-model
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.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.
- hubmap
- imaging
- openmicroscopy
- ome-tiff
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".
- imaging
- ai
- cloud-computing
- medical-imaging
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
- histology
- wsi-images
- pan-cancer-analysis
- genomics
Automated 3D cell detection in very large images
- microscopy
- cell-detection
- deep-learning
- image-analysis
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
- cancer-imaging-research
- radiomics
- radiomics-features
- machine-learning
A Python interface to access neuroanatomical atlases
- neuroscience
- python
- microscopy
- registration
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
Automated 3D brain registration with support for multiple species and atlases.
- registration
- atlases
- brain
- neuroscience
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
- neuroimaging
- reproducibility
- pipeline
- meta-analysis