Alternatives and similar repositories for adversarial_retinal_synthesis

Users that are interested in adversarial_retinal_synthesis are comparing it to the libraries listed below

• costapt / vess2ret
  A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.
  ☆95Updated 8 years ago
• ginobilinie / medSynthesis
  medical image synthesis with GAN framework based on tensorflow (we also have a better version in pytorch: https://github.com/ginobilinie/…
  ☆74Updated 4 years ago
• ginobilinie / medSynthesisV1
  This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework
  ☆194Updated 4 years ago
• MIA2I / RetinalVesselSegmentation
  ☆10Updated 8 years ago
• bohu615 / nu_gan
  unsupervised cell-level visual representation learning
  ☆47Updated 6 years ago
• shiba24 / 3d-unet
  Chainer implementations of 3D UNet
  ☆189Updated 5 years ago
• baumgach / vagan-code
  Tensorflow implementation of 'Visual Feature Attribution using Wasserstein GANs'
  ☆56Updated 2 years ago
• YuanXue1993 / SegAN
  SegAN: Semantic Segmentation with Adversarial Learning
  ☆187Updated 7 years ago
• a7med12345 / Cycle-GAN-with-Unet-as-GENERATOR
  ☆13Updated 7 years ago
• simontomaskarlsson / GAN-MRI
  Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Com…
  ☆239Updated 6 years ago
• xinario / SAGAN
  Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
  ☆135Updated 3 years ago
• xy0806 / 3D-cGAN
  3D conditional GAN for medical image segmentation
  ☆39Updated 7 years ago
• shubham1810 / MS-D_Net_PyTorch
  PyTorch implementation of Mixed-Scale Dense Convolutional Neural Network (MS-D Net) for Image Analysis
  ☆31Updated 7 years ago
• zijundeng / DAF
  Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"
  ☆63Updated 7 years ago
• ai-med / relaynet_pytorch
  Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)
  ☆92Updated 7 years ago
• iNLyze / DeepLearning-SeGAN-Segmentation
  This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf
  ☆103Updated 6 years ago
• faustomilletari / VNet
  ☆293Updated 8 years ago
• PatrickChrist / LITS-CHALLENGE
  INFORMATION FOR THE LIVER TUMOR SEGMENTATION CHALLENGE
  ☆77Updated 8 years ago
• mattmacy / torchbiomed
  Datasets, Transforms and Utilities specific to Biomedical Imaging
  ☆110Updated 7 years ago
• Ryo-Ito / brain_segmentation
  Implementation of VoxResNet for 3D brain segmentation
  ☆66Updated 7 years ago
• ginobilinie / mr2ct
  ☆10Updated 8 years ago
• HzFu / REFUGE_baseline
  The baseline performances for Retinal Fundus Glaucoma Challenge
  ☆19Updated 6 years ago
• FabianRathke / octSegmentation
  Reference Code for the publication "Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization" (…
  ☆25Updated 8 years ago
• balakg / voxelmorph
  ☆53Updated 6 years ago
• lisjin / dcan-tensorflow
  Deep Contour-Aware Networks in TensorFlow
  ☆65Updated 7 years ago
• arnab39 / FewShot_GAN-Unet3D
  Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning
  ☆400Updated 5 years ago
• imatge-upc / 3D-GAN-superresolution
  3D super-resolution using Generative Adversarial Networks
  ☆170Updated 7 years ago
• jakeoung / Unet_pytorch
  Implementation of U-Net architecture using Pytorch
  ☆110Updated 6 years ago
• junqiangchen / Unet_3d
  Unet_3d,Segment
  ☆17Updated 5 years ago
• guyuchao / Vessel-wgan-pytorch
  An implementation of《Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks》
  ☆89Updated 7 years ago