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

Tool for robust segmentation of >100 important anatomical structures in CT and MR images

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

• semi-supervised-learning

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

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

Open source tools for computational pathology - Nature BME

• histopathology
• pathology
• weakly-supervised-learning
• whole-slide-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

⚡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

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

Vision-Language Pathology Foundation Model - Nature Medicine

• bioimage-analysis
• bioimage-informatics
• conch
• foundation-model

C library for reading virtual slide images

• pathology
• whole-slide-imaging
• c

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