# Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/uncertainty-guided-mutual-consistency-learning-for-semi-supervised-medical-image/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yichi Zhang,Rushi Jiao,Qingcheng Liao,Dongyang Li,Jicong Zhang |
| Citations | 112 |
| DOI | 10.1016/j.artmed.2022.102476 |
| Fields | Computer Science,Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4311777178 |
| PMID | 36990583 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yichi Zhang](https://scholariq.org/researchers/yichi-zhang/)

## Paper journal

- [Artificial Intelligence in Medicine](https://scholariq.org/journals/artificial-intelligence-in-medicine/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Medical Imaging and Analysis](https://scholariq.org/topics/medical-imaging-and-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.