基于视网膜照片的深度学习系统，用于检测甲状腺相关性眼病。

The Journal of Craniofacial Surgery Pub Date : 2023-12-11 DOI:10.1097/scs.0000000000009919

Xue Jiang, Li Dong, Lihua Luo, Kai Zhang, Dongmei Li

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引用次数: 0

摘要

甲状腺相关性眼病（TAO）的诊断通常需要全面的检查，包括临床症状、放射学检查和血液化验。因此，需要经济有效的无创方法来检测TAO。本研究旨在建立一个基于深度学习的系统，以视网膜照片为基础检测TAO。

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Retinal Photograph-based Deep Learning System for Detection of Thyroid-Associated Ophthalmopathy.

The diagnosis of thyroid-associated ophthalmopathy (TAO) usually requires a comprehensive examination, including clinical symptoms, radiological examinations, and blood tests. Therefore, cost-effective and noninvasive methods for the detection of TAO are needed. This study aimed to establish a deep learning-based system to detect TAO based on retinal photographs.

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The Journal of Craniofacial Surgery

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