Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Vnet.pytorch | 421 | 7 years ago | 20 | bsd-3-clause | Python | |||||
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation | ||||||||||
Fcn Pytorch | 366 | 2 years ago | 28 | Python | ||||||
🚘 Easiest Fully Convolutional Networks | ||||||||||
Pytorch Unet | 357 | 4 years ago | 6 | mit | Jupyter Notebook | |||||
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation | ||||||||||
Cascaded Fcn | 283 | 7 years ago | 7 | other | Jupyter Notebook | |||||
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields" | ||||||||||
U Time | 191 | 2 years ago | 11 | December 15, 2022 | 4 | mit | Python | |||
U-Time: A Fully Convolutional Network for Time Series Segmentation | ||||||||||
Multiplanarunet | 179 | 2 years ago | 9 | May 26, 2021 | 3 | mit | Python | |||
Multi-Planar UNet for autonomous segmentation of 3D medical images | ||||||||||
Squeeze_and_excitation | 140 | 5 years ago | 3 | mit | Python | |||||
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks | ||||||||||
Miccai Lits2017 | 137 | 5 years ago | 13 | Python | ||||||
liver segmentation using deep learning | ||||||||||
Keras Icnet | 85 | 7 years ago | 11 | mit | Python | |||||
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images | ||||||||||
Image Segmentation Fcn | 81 | 8 years ago | Python | |||||||
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow |