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3d-unet

Tensorflow, Pytorch, and Chainer implementations of 3D UNet

3d_denseseg

The implementation of 3D_DenseSeg for infant brain MRI segmentation

ademxapp

Code for https://arxiv.org/abs/1611.10080

bicyclegan

[NIPS 2017] Toward Multimodal Image-to-Image Translation

briefnet

Code for MICCAI 2017 paper on binary sparse convolutions for semantic segmentation of medical images

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

capsnet-keras

A Keras implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules. Now Val_acc>99.5%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

cellsegmentation_tip2015

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

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In pytorch Learing Neural Networks likes CNN、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cnn-ms-lesion-segmentation

MS lesion segmentation using cascaded 3D convolutional neural networks

convolution_lstm_pytorch

Multi-layer convolution LSTM with Pytorch

darknet

Convolutional Neural Networks

deeplearning-segan-segmentation

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

deformable-convnets

Deformable Convolutional Networks

denseinferencewrapper

A python wrapper for Krähenbühls dense CRF for medical image volumes.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dilated-densenet

Dilated DenseNets

dilation

Dilated Convolution for Semantic Image Segmentation

dsb3tutorial

end2end-all-conv

End-to-end training for breast cancer diagnosis using deep all convolutional networks

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit

fc-densenet

Fully Convolutional DenseNets for semantic segmentation.

fcis

Fully Convolutional Instance-aware Semantic Segmentation

focal-loss

Focal loss for Dense Object Detection

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

gcau-net

The code for "Global context joint attention model for liver and tumor segmentation"

gcha-net

GCHA-Net: Global context and hybrid attention network for automatic liver segmentation