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Tensorflow, Pytorch, and Chainer implementations of 3D UNet
The implementation of 3D_DenseSeg for infant brain MRI segmentation
Code for https://arxiv.org/abs/1611.10080
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images
C3D is a modified version of BVLC caffe to support 3D ConvNets.
A Keras implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules. Now Val_acc>99.5%.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Code for the paper "An Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells" published on IEEE Transactions on Image Processing
In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
MS lesion segmentation using cascaded 3D convolutional neural networks
Multi-layer convolution LSTM with Pytorch
Convolutional Neural Networks
This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
Deformable Convolutional Networks
A python wrapper for Krähenbühls dense CRF for medical image volumes.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Dilated DenseNets
Dilated Convolution for Semantic Image Segmentation
End-to-end training for breast cancer diagnosis using deep all convolutional networks
Facebook AI Research Sequence-to-Sequence Toolkit
Fully Convolutional DenseNets for semantic segmentation.
Fully Convolutional Instance-aware Semantic Segmentation
Focal loss for Dense Object Detection
A PyTorch Implementation of Focal Loss.
The code for "Global context joint attention model for liver and tumor segmentation"
GCHA-Net: Global context and hybrid attention network for automatic liver segmentation
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.