# Segment anything model for medical image segmentation: Current applications and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/segment-anything-model-for-medical-image-segmentation-current-applications-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yichi Zhang,Zhenrong Shen,Rushi Jiao |
| Citations | 294 |
| DOI | 10.1016/j.compbiomed.2024.108238 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4392203599 |
| PMID | 38422961 |
| Type | article |
| Year | 2024 |

## Paper authors

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

## 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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.