# A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-domain-knowledge-based-interpretable-deep-learning-system-for-improving/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yan Lin,Zhiying Liang,Hao Zhang,Gaosong Zhang,Weiwei Zheng,Chunguang Han,Dongsheng Yu,Hanqi Zhang,Xinxin Xie,Chang Liu,Wenxin Zhang,Hui Zheng,Jing Pei,Dinggang Shen,Xuejun Qian |
| Citations | 21 |
| DOI | 10.1038/s43856-024-00518-7 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s43856-024-00518-7.pdf |
| OpenAlex ID | https://openalex.org/W4397022393 |
| PMID | 38760506 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Yan Lin](https://scholariq.org/researchers/yan-lin/)

## Paper journal

- [Communications Medicine](https://scholariq.org/journals/communications-medicine/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Breast Lesions and Carcinomas](https://scholariq.org/topics/breast-lesions-and-carcinomas/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.