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BOA is a segmentation tool of CT scans by the SHIP-AI group (https://ship-ai.ikim.nrw/). Combining the TotalSegmentator and the Body Composition Analysis, this tool is capable of analyzing medical images and identifying the different structures within the human body, including bones, muscles, organs, and blood vessels.
Implementation accompanying our STACOM (MICCAI) 2021 paper (https://doi.org/10.1007/978-3-030-93722-5_11)
This is an implementation of "Deep Learning Prediction for Percutaneous Recanalization of Chronic Total Occlusion Using Coronary CT Angiography".
Endovascular Environment: Modular Toolbox to quickly prototype new Endovascular Environments
Official Code for DragGAN (SIGGRAPH 2023)
Code accompanying the paper 'Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors' (IEEE-TMI)
code for "Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network"
HAGMN-UQ: Hyper Association Graph Matching Network with Uncertainty Quantification for Coronary Artery Semantic Labeling
An ITK module to compute 3D thickness
OpenSource CAD software for Mammography, DDSM Database.
Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) 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.
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
3D ct pulmonary vessels segmentation
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
SACH-Net: Shape-Adaptive Convolution Kernel and Hierarchical Topology Constraint Framework for Coronary Artery Segmentation
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
A collection of loss functions for medical image segmentation
The largest pre-trained medical image segmentation model (1.4B parameters) based on the largest public dataset (>100k annotations), up until April 2023.
A multi-physics finite element solver for patient-specific blood flow simulation including fluid-structure interaction and cardiac electrophysiology
Monolithic Fluid-Structure Interaction (FSI) solver
Reconstruction of watertight meshes, annotated volumes and center line skeletons of neuroscience spatial structures from non-watertight inputs, segmented masks, skeletons of NGV morphologies and volumes.
A software to edit, model and mesh vascular networks from centerlines.
VesselGrapher: Learning Dynamic Vessel Graph Representations for Segmentation (MICCAI2023 CROWN challenge)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.