Repository Index

AI Toolkit for Healthcare Imaging

• healthcare-imaging
• deep-learning
• medical-image-computing
• medical-image-processing

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

• nci-itcr
• nci-qin
• quantitative-imaging
• imaging-informatics

Multi-platform, free open source software for visualization and image computing.

• medical-imaging
• vtk
• itk
• python

Medical imaging processing for AI applications.

• pytorch
• medical-image-computing
• deep-learning
• data-augmentation

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

• convolutional-neural-networks
• attention-model
• image-classification
• image-segmentation

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

• segmentation
• deep-learning
• pytorch
• medical-imaging

Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

• itk
• insight-toolkit
• image-analysis
• medical-imaging

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

3D medical imaging reconstruction software

• dicom
• dicom-viewer
• magnetic-resonance-imaging
• medical-image-processing

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology 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.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

Tools for computational pathology

• machine-learning
• digital-pathology
• computational-pathology
• biomedical-image-processing

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

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

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121

A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources

• bioimage-analysis
• cell-classification
• computer-vision
• digital-pathology

legacy signal processing leveraging afni, ants, fsl, nipy, robex, and wavelet toolbox - brnfswdktm

• fmri-preprocessing
• fmri