AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
3D medical imaging reconstruction software
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
Vision-Language Pathology Foundation Model - Nature Medicine
U-Net Brain Tumor Segmentation
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
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.
Neural networks toolbox focused on medical image analysis
Image restoration for fluorescence microscopy
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".
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Automated 3D cell detection in very large images
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
PyTorch Connectomics: segmentation toolbox for EM connectomics
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
A Python interface to access neuroanatomical atlases
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"
Automated 3D brain registration with support for multiple species and atlases.
ENIGMA HALFpipe is a user-friendly software that facilitates reproducible analysis of fMRI data
Axon/Myelin segmentation using Deep Learning