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Type: Organization
Type: Organization
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
Variational Time-Implicit LevelSets for Image Segmentation
Associatively Segmenting Instances and Semantics in Point Clouds
Digital atlases
Salient attention U-Net model for tumor segmentation in breast ultrasound images, based on visual saliency maps
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Attention-Based Guided Structured Sparsity of Deep Neural Networks
Raw implementation of attention gated U-Net by Keras
Automatic Colorization of Anime Sketch Image
AttentionGatedVNet3D
Image augmentation library in Python for machine learning.
Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
Autofocus Layer for Semantic Segmentation
TensorFlow implementation of the autofocus layer as described in 'Autofocus Layer for Semantic Segmentation' (https://arxiv.org/pdf/1805.08403.pdf), MICCAI 2018.
A Baseline Approach for the AutoImplant Challenge
public repository for "Fully Automated Hybrid Network to Predict IDH Mutation Status of Glioma via Deep Learning and Radiomics"
An image co-segmentation algorithm that was presented in ICIP'14. It has been recipient of Top 10% paper award as well.
Level Set Based Automatic Prostate Segmentation on MRI
国内外优秀的计算机视觉团队汇总,极市团队整理
The most cited deep learning papers
Awesome GAN for Medical Imaging
image registration related books, papers, videos, and toolboxes
A curated list of neural architecture search (NAS) resources.
A curated list of awesome self-supervised methods
:metal: awesome-semantic-segmentation
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet)
A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.
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.