xmindflow / SSL-contrastive
[ISBI 2024] Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning
☆24Updated last year
Alternatives and similar repositories for SSL-contrastive:
Users that are interested in SSL-contrastive are comparing it to the libraries listed below
- [MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation☆23Updated last year
- PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillatio…☆20Updated last year
- ☆44Updated last year
- SMU-Net]{SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities☆32Updated 3 years ago
- [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation☆39Updated this week
- [Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric M…☆73Updated last year
- ☆25Updated 5 months ago
- ☆42Updated last year
- [CMIG‘2022] [Pytorch]A Contrastive Consistency Semi-supervised Left Atrium Segmentation Model☆14Updated 2 years ago
- ☆23Updated last week
- [MICCAI 2022] ShapePU: A New PU Learning Framework Regularized by Global Consistency for Scribble Supervised Cardiac Segmentation☆35Updated 2 years ago
- Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder☆39Updated last year
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆58Updated 10 months ago
- ☆16Updated last year
- repository for CAML: Correlation-aware mutual learning for semi-supervised medical image segmentation☆36Updated last year
- Official implementation of our paper "Self-Supervised Pretraining for 2D Medical Image Segmentation"☆47Updated last year
- offical code for: Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions. MICCAI 2023.☆53Updated 11 months ago
- Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images☆22Updated 2 years ago
- Code for Pseudo label based contrastive learning joint training approach☆56Updated 3 years ago
- [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…☆48Updated 3 years ago
- Code for [MICCAI 2022] Domain Specific Convolution and High Frequency Reconstruction based Unsupervised Domain Adaptation for Medical Ima…☆27Updated 2 years ago
- The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."☆40Updated last year
- 【MICCAI 2022】"TBraTS: Trusted Brain Tumor Segmentation"☆49Updated last year
- Official implementation for paper "Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos"☆27Updated last year
- [MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"☆46Updated 2 years ago
- ☆52Updated 2 years ago
- [ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation☆22Updated last year
- ☆49Updated last week
- ☆28Updated 2 years ago
- ☆17Updated last year