ssedai026 / uncertainty-segmentation
Uncertainty quantification for semantic image segmentation models using Monte Carlo dropout method
☆15Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for uncertainty-segmentation
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 2 years ago
- code for ICCVW paper 'Graph Cuts Loss to Boost Model Accuracy and Generalizability for Medical Image Segmentation'.☆16Updated 3 years ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated last year
- ☆9Updated 2 years ago
- Weakly Supervised Medical Images Segmentation☆30Updated 2 years ago
- ☆15Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- ☆16Updated 3 years ago
- Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…☆19Updated 2 years ago
- Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.☆23Updated last year
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆26Updated 2 years ago
- ☆26Updated last year
- Official PyTorch implementation of Scribble2Label (MICCAI 2020)☆34Updated 3 years ago
- ☆36Updated last year
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- Semi-supervised few-shot learning for medical image segmentation☆26Updated 4 years ago
- Patch-free 3D Medical Image Segmentation☆34Updated 2 years ago
- ☆24Updated 3 years ago
- This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.☆39Updated 2 months ago
- ☆24Updated last year
- Multi-task Attention-based Semi-supervised Learning framework for image segmentation☆42Updated 4 years ago
- Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation☆18Updated 3 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- The code repo for "FUSSNet: Fusing Two Sources of Uncertainty forSemi-Supervised Medical Image Segmentation"☆13Updated 2 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆108Updated last year
- code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation☆26Updated 2 years ago
- ☆21Updated 3 years ago
- iSegFormer: Interactive Image/Volume Segmentation using Vision Transformers (MICCAI 2022)☆27Updated 4 months ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆13Updated 9 months ago
- [MIA' 22] Source free domain adaptation for medical image segmentation with fourier style mining☆41Updated 8 months ago