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Part 1 of Allen Cell and Structure Segmenter: classic image segmentation workflow
BRAVE-NET: Fully Automated Brain Vessel Segmentation In Patients with Cerebrovascular Disease
The segemntation of the Histological slices of the Carotid Artery
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
CVPR 2020 论文开源项目合集
Domain Adaptive Faster R-CNN in PyTorch
Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
Code Implementation for JointVesselNet (MICCAI 2020) & VC-Net (IEEE TVCG SciVis 2020)
The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.
Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".
🤡
3D U-Net model for volumetric semantic segmentation written in pytorch
This repository is an unoffical PyTorch implementation of Medical segmentation in 3D and 2D.
Build your neural network easy and fast, 莫烦Python中文教学
MICCAI 2020 Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
Bash and python scripts to run a keras-implemented V-Net 3D segmentation model.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Scripts to build your own IPsec VPN server, with IPsec/L2TP and Cisco IPsec on Ubuntu, Debian and CentOS
Medical image preprocessing and augmentation toolkit for deep learning
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
这是一个unet-pytorch的源码,可以训练自己的模型
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images
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.