A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
☆563Mar 24, 2023Updated 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:
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆292Jan 16, 2019Updated 7 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆129Nov 22, 2022Updated 3 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Jul 10, 2019Updated 6 years ago
- A framework for data augmentation for 2D and 3D image classification and segmentation☆1,172Mar 25, 2025Updated 11 months ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,040Nov 13, 2020Updated 5 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆56Oct 3, 2023Updated 2 years ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆720Mar 19, 2024Updated last year
- Autofocus Layer for Semantic Segmentation☆182May 13, 2019Updated 6 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Dec 17, 2018Updated 7 years ago
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,347Jun 17, 2024Updated last year
- PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)☆702Jul 24, 2019Updated 6 years ago
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 5 years ago
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Dec 8, 2022Updated 3 years ago
- Awesome GAN for Medical Imaging☆2,361May 29, 2022Updated 3 years ago
- Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"☆64May 8, 2018Updated 7 years ago
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Apr 25, 2023Updated 2 years ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆593Feb 19, 2025Updated last year
- This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" acce…☆360Apr 19, 2019Updated 6 years ago
- Unsupervised instance segmentation via active robot interaction☆76Jul 1, 2022Updated 3 years ago
- Implementation for probabilistic 2D and 3D segmentation for uncertainty quantification☆11May 23, 2023Updated 2 years ago
- Code for the Lovász-Softmax loss (CVPR 2018)☆1,409Apr 12, 2024Updated last year
- A collection of loss functions for medical image segmentation☆4,004Nov 1, 2023Updated 2 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆403Jul 14, 2020Updated 5 years ago
- Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge☆153Aug 9, 2018Updated 7 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Jul 30, 2019Updated 6 years ago
- ☆84Oct 17, 2018Updated 7 years ago
- Semantic Segmentation Architectures Implemented in PyTorch☆3,411Oct 11, 2023Updated 2 years ago
- UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset☆1,063Oct 26, 2022Updated 3 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- Official PyTorch code for Curve-GCN (CVPR 2019)☆842Jan 29, 2020Updated 6 years ago
- Inference Code for Polygon-RNN++ (CVPR 2018)☆734Aug 29, 2018Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 2 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 5 years ago
- [MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset☆133Aug 5, 2020Updated 5 years ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆531Nov 13, 2020Updated 5 years ago
- Pytorch implementation of BMVC 2019 paper Dual Graph Convolutional Network for Semantic Segmentation.☆25Aug 26, 2020Updated 5 years ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆631Oct 27, 2025Updated 4 months ago
- Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!☆812Feb 16, 2021Updated 5 years ago