# Using deep learning method to identify left ventricular hypertrophy on echocardiography

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-deep-learning-method-to-identify-left-ventricular-hypertrophy-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xiang Yu,Xinxia Yao,Bifeng Wu,Hong Zhou,Shudong Xia,Wenwen Su,Yuanyuan Wu,Xiaoye Zheng |
| Citations | 43 |
| DOI | 10.1007/s10554-021-02461-3 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10554-021-02461-3.pdf |
| OpenAlex ID | https://openalex.org/W3213224457 |
| PMID | 34757566 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Hong Zhou](https://scholariq.org/researchers/hong-zhou/)

## Paper primary topic

- [Cardiovascular Function and Risk Factors](https://scholariq.org/topics/cardiovascular-function-and-risk-factors/)

## Paper topics

- [Cardiovascular Function and Risk Factors](https://scholariq.org/topics/cardiovascular-function-and-risk-factors/)
- [Amyloidosis: Diagnosis, Treatment, Outcomes](https://scholariq.org/topics/amyloidosis-diagnosis-treatment-outcomes/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-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.