lyn1874 / region_based_active_learningLinks
On uncertainty estimation in active learning for image segmentation
☆12Updated 5 years ago
Alternatives and similar repositories for region_based_active_learning
Users that are interested in region_based_active_learning are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images☆74Updated 2 years ago
- Weakly Supervised Medical Images Segmentation☆34Updated 4 years ago
- ☆27Updated 4 years ago
- ☆36Updated 3 years ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated 2 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 3 years ago
- ☆67Updated 3 years ago
- Another implementation of topological loss☆37Updated 4 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆37Updated 4 years ago
- Recent progress on domain adaption/generalization for medical image segmentation☆54Updated 4 years ago
- ☆56Updated 2 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆27Updated 3 years ago
- ☆96Updated 4 years ago
- Adaptive Early-Learning Correction for Segmentation from Noisy Annotations (CVPR 2022 Oral)☆89Updated 3 years ago
- Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…☆18Updated 3 years ago
- Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation (ICCV21)☆29Updated 3 years ago
- ☆34Updated 4 years ago
- code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets☆66Updated 3 years ago
- This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Me…☆45Updated 3 years ago
- Oral presentation at MIDL 2020 - Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision☆46Updated 4 years ago
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆28Updated 4 years ago
- [MICCAI 2020] BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture☆64Updated 4 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆19Updated 4 years ago
- Code for the MICCAI DART 2020 paper☆32Updated 4 years ago
- Code release for the paper I. Zakazov, B. Shirokikh et al. "Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation" (MICCAI 2…☆13Updated 4 years ago
- Official PyTorch implementation for paper Context Matters: Graph-based Self-supervised Representation Learning for Medical Images☆58Updated 3 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 3 years ago
- Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…☆43Updated 2 years ago
- Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation☆28Updated 4 years ago
- [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation☆116Updated 2 years ago