# Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/learning-with-limited-annotations-a-survey-on-deep-semi-supervised-learning-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rushi Jiao,Yichi Zhang,Le Ding,Bingsen Xue,Jicong Zhang,Rong Cai,Cheng Jin |
| Citations | 310 |
| DOI | 10.1016/j.compbiomed.2023.107840 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4389827562 |
| PMID | 38157773 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper primary topic

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

## Paper topics

- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.