SimonKohl / probabilistic_unetLinks
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
☆556Updated 2 years ago
Alternatives and similar repositories for probabilistic_unet
Users that are interested in probabilistic_unet are comparing it to the libraries listed below
Sorting:
- Official Implementation of the Paper "Capsules for Object Segmentation".☆279Updated 5 years ago
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆285Updated 6 years ago
- Uncertainty in Medical Image Analysis☆315Updated 3 years ago
- U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597☆281Updated 7 years ago
- FC-DenseNet in PyTorch for Semantic Segmentation☆308Updated 6 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆399Updated 5 years ago
- Tunable U-Net implementation in PyTorch☆337Updated 5 years ago
- Chainer implementations of 3D UNet☆187Updated 5 years ago
- The PatchCamelyon (PCam) deep learning classification benchmark.☆495Updated last year
- A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation☆371Updated 7 years ago
- ☆197Updated 5 years ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆728Updated 7 years ago
- ☆84Updated 6 years ago
- Datasets, Transforms and Utilities specific to Biomedical Imaging☆110Updated 7 years ago
- Active Deep Learning for Medical Imaging Segmentation☆280Updated 2 years ago
- Autofocus Layer for Semantic Segmentation☆180Updated 6 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆340Updated 5 years ago
- Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge☆633Updated last year
- Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning☆393Updated 4 years ago
- matlab and python wrap of crf and dense crf, both 2d and 3d are supported☆169Updated 2 years ago
- SegAN: Semantic Segmentation with Adversarial Learning☆186Updated 7 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biome…☆168Updated last year
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆755Updated 2 years ago
- Fully-connected (dense) 3D CRF for processing biomedical scans☆138Updated 7 years ago
- A medical imaging framework for Pytorch☆868Updated last year
- ☆147Updated 5 years ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- Pytorch code for Unet and SegNet architectures☆64Updated 6 years ago
- ☆291Updated 8 years ago