HealthML / active-segmentationLinks
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
☆20Updated 2 years ago
Alternatives and similar repositories for active-segmentation
Users that are interested in active-segmentation are comparing it to the libraries listed below
Sorting:
- ☆28Updated 2 years ago
- vMFNet: Compositionality Meets Domain-generalised Segmentation☆16Updated 2 years ago
- The official implementation of the paper: [ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical …☆16Updated 2 weeks ago
- ☆10Updated 2 years ago
- Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…☆21Updated 2 years ago
- Official PyTorch Implementation for CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging - MIDL 20…☆10Updated 3 years ago
- Domain generalization benchmark for skin lesion recognition, MICCAI 2023☆19Updated last year
- Code for the paper "Test-time adaptable neural networks for robust medical image segmentation"☆46Updated 4 years ago
- [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer☆55Updated 3 months ago
- This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.☆46Updated 4 months ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆17Updated last year
- [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)☆40Updated last year
- ☆22Updated last year
- [AAAI 2022 Oral] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation☆15Updated 2 years ago
- Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels for neurips 2021☆28Updated 2 years ago
- Code for MICCAI 2023 paper titled "Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangle…☆21Updated 8 months ago
- ☆17Updated 3 years ago
- Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation☆35Updated 3 years ago
- [ECCV2022&TPAMI] Official pytorch implementation of UniMiSS & UniMiSS+☆68Updated 6 months ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Updated last year
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆32Updated last year
- Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images☆29Updated 3 years ago
- [AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in …☆74Updated 7 months ago
- Pytorch implementation of our paper accepted by NCA2021 -- Hierarchical Deep Network with Uncertainty aware Semi-supervised Learning for …☆12Updated 2 years ago
- Code base for "On-the-Fly Test-time Adaptation for Medical Image Segmentation"☆29Updated 3 years ago
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆37Updated 2 years ago
- The code repo for "FUSSNet: Fusing Two Sources of Uncertainty forSemi-Supervised Medical Image Segmentation"☆13Updated 3 years ago
- This repository contains code for the paper "Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Imag…☆32Updated 2 years ago
- The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"☆32Updated 2 years ago
- PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html☆14Updated last year