Minimel / StochasticBatchALLinks
Code for the paper "Active learning for medical image segmentation with stochastic batches", published at Medical Image Analysis (2023).
☆10Updated 8 months ago
Alternatives and similar repositories for StochasticBatchAL
Users that are interested in StochasticBatchAL are comparing it to the libraries listed below
Sorting:
- DG-TTA☆14Updated 4 months ago
- The official implementation of the paper: [ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical …☆16Updated 2 months ago
- ☆12Updated last month
- MICCAI 2023: DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation☆63Updated last year
- repository for CAML: Correlation-aware mutual learning for semi-supervised medical image segmentation☆38Updated 2 years ago
- [MICCAI 2023] MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets (an official implementation)☆40Updated last year
- ☆16Updated last year
- Code implementation of ProtoSAM - One Shot Medical Image Segmentation with Foundationl Models☆35Updated 10 months ago
- Multi-Organ Foundation Model for Universal Ultrasound Image Segmentation with Task Prompt and Anatomical Prior☆12Updated 10 months ago
- Decoupled Consistency for Semi-supervised Medical Image Segmentation(MICCAI 2023)☆26Updated 2 years ago
- Official implementation for paper "Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos"☆28Updated last year
- Source code for MICCAI 2022 paper entitled: 'Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification'☆35Updated 2 years ago
- ☆25Updated 5 months ago
- [MICCAI'24] Weakly-supervised Medical Image Segmentation with Gaze Annotations☆27Updated last year
- ☆13Updated last year
- ☆18Updated 2 years ago
- Code for [MICCAI 2023 (Early Accept)] Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.☆33Updated 2 years ago
- [IEEE TIM 2024] Partition A Medical Image: Extracting Multiple Representative Sub-Regions for Few-shot Medical Image Segmentation☆16Updated 10 months ago
- [In Progressing]HaN5K: A project to develop foundation models for structure delineation in head and neck radiotherapy based on more than …☆15Updated last year
- ☆11Updated 2 years ago
- Semi-Supervised-Learning☆13Updated 2 years ago
- ☆14Updated last year
- [MICCAI 2024] HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training☆19Updated 8 months ago
- Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training☆19Updated 7 months ago
- Python codes to implement Q-Net, a meta-learning method for few shot medical image segmentation☆51Updated last year
- [MICCAI 2023] Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer☆57Updated 5 months ago
- Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)☆51Updated last year
- [MedIA'25] Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation.☆38Updated 3 months ago
- ☆64Updated last year
- [MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation☆27Updated last year