Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study
Screening for hyperthyroidism using gold-standard diagnostic criteria in the general population is not cost-effective, leading to a relatively high rate of undiagnosed and untreated patients. This study aimed to establish a deep learning-based system to detect hyperthyroidism based on retinal photog...
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
29 August 2023
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| In: |
Journal of Big Data
Year: 2023, Volume: 10, Issue: 1, Pages: 1-12 |
| ISSN: | 2196-1115 |
| DOI: | 10.1186/s40537-023-00777-6 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s40537-023-00777-6 Verlag, kostenfrei, Volltext: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-023-00777-6 |
| Author Notes: | Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei and Dongmei Li |
| Summary: | Screening for hyperthyroidism using gold-standard diagnostic criteria in the general population is not cost-effective, leading to a relatively high rate of undiagnosed and untreated patients. This study aimed to establish a deep learning-based system to detect hyperthyroidism based on retinal photographs. |
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| Item Description: | Gesehen am 10.04.2024 |
| Physical Description: | Online Resource |
| ISSN: | 2196-1115 |
| DOI: | 10.1186/s40537-023-00777-6 |