AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
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AI Toolkit for Healthcare Imaging
Official git repository for Biopython (originally converted from CVS)
3D visualization and mesh analysis for science and engineering
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
:spider_web: Gmsh for Python
3D medical imaging reconstruction software
Clinical Histopathology Imaging Evaluation Foundation Model
Main yt repository
Vision-Language Pathology Foundation Model - Nature Medicine
U-Net Brain Tumor Segmentation
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
Automated 3D cell detection in very large images
The Complete Street Rule for ArcGIS CityEngine is a scenario oriented design tool intended to enable users to quickly create procedurally generated multimodal streets.
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
:dart: Accurate sums and dot products for Python.
Cryptographic Dataset Generation & Modelling Framework
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
mrQA: tools for quality assurance in medical imaging datasets, including protocol compliance
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.