Alternatives and similar repositories for PyTorch-2D-3D-UNet-Tutorial

Users that are interested in PyTorch-2D-3D-UNet-Tutorial are comparing it to the libraries listed below

• ZFTurbo / segmentation_models_3D
  Set of models for segmentation of 3D volumes
  ☆137Updated last year
• fepegar / unet
  "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
  ☆184Updated last year
• ZFTurbo / volumentations
  Library for 3D augmentations
  ☆259Updated last year
• ELEKTRONN / elektronn3
  A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biome…
  ☆169Updated 2 years ago
• ZFTurbo / classification_models_3D
  Set of models for classifcation of 3D volumes
  ☆186Updated last year
• arbellea / LSTM-UNet
  ☆87Updated 6 years ago
• ZFTurbo / efficientnet_3D
  EfficientNets in 3D variant for keras and TF.keras
  ☆54Updated 3 years ago
• IlliaOvcharenko / lung-segmentation
  Lung segmentation for chest X-Ray images
  ☆136Updated 2 years ago
• gvtulder / elasticdeform
  Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
  ☆194Updated 10 months ago
• zyl200846 / 3D-UNet-PyTorch-Implementation
  The implementation of 3D-UNet using PyTorch
  ☆101Updated 10 months ago
• ashawkey / volumentations
  3D volume data augmentation package inspired by albumentations
  ☆81Updated 6 years ago
• shijianjian / EfficientNet-PyTorch-3D
  A PyTorch implementation of EfficientNet
  ☆179Updated 2 years ago
• Mr-TalhaIlyas / Loss-Functions-Package-Tensorflow-Keras-PyTorch
  Loss function Package Tensorflow Keras PyTOrch
  ☆54Updated 2 years ago
• Borda / kaggle_vol-3D-classify
  Predict the status of a genetic biomarker important for brain cancer treatment
  ☆39Updated 2 months ago
• yuta-hi / bayesian_unet
  Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)
  ☆51Updated 5 years ago
• PatRyg99 / HausdorffLoss
  Implementation of Hausdorff loss function for DNN learning in segmentation tasks.
  ☆72Updated last year
• MIC-DKFZ / image_classification
  Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
  ☆56Updated 9 months ago
• ahmedbesbes / mrnet
  Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
  ☆136Updated 4 years ago
• ZFTurbo / segmentation_models_pytorch_3d
  Segmentation models for 3D data with different backbones. PyTorch.
  ☆76Updated last year
• Project-MONAI / MONAIBootcamp2020
  Material for the 2020 MONAI Bootcamp
  ☆64Updated 4 years ago
• junyuchen245 / Unsuprevised_Seg_via_CNN
  An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)
  ☆71Updated 4 years ago
• maxvfischer / keras-image-segmentation-loss-functions
  Binary and multiclass image segmentation loss functions implemented in Keras
  ☆63Updated 5 years ago
• cosmic-cortex / pytorch-UNet
  2D and 3D UNet implementation in PyTorch.
  ☆166Updated last year
• frankkramer-lab / MIScnn
  A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
  ☆420Updated 2 years ago
• perslev / MultiPlanarUNet
  Multi-Planar UNet for autonomous segmentation of 3D medical images
  ☆196Updated 2 years ago
• black0017 / ct-intensity-segmentation
  Introduction to medical image processing with Python: CT lung and vessel segmentation without labels https://theaisummer.com/medical-imag…
  ☆64Updated 3 years ago
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆110Updated 4 years ago
• mdciri / Vox2Vox
  Vox2Vox: 3D GAN for image segmentation using tensorflow-keras
  ☆50Updated 4 years ago
• dovahcrow / patchify.py
  A library that helps you split image into small, overlappable patches, and merge patches into original image.
  ☆229Updated last year
• robinvvinod / unet
  Keras implementation of a 2D/3D U-Net with Additive Attention, Inception, and Recurrence functions provided
  ☆73Updated 5 years ago