Detecting visually significant cataract using retinal photograph-based deep learning

Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to cataract screening. In the present study, we report the development and validation of a retinal...

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Detalles Bibliográficos
Autores principales: Tham, Yih-Chung, Goh, Jocelyn Hui Lin, Anees, Ayesha, Lei, Xiaofeng, Rim, Tyler Hyungtaek, Chee, Miao-Li, Wang, Ya Xing, Jonas, Jost B., Thakur, Sahil, Teo, Zhen Ling, Cheung, Ning, Hamzah, Haslina, Tan, Gavin S. W., Husain, Rahat, Sabanayagam, Charumathi, Wang, Jie Jin, Chen, Qingyu, Lu, Zhiyong, Keenan, Tiarnan D., Chew, Emily Y., Tan, Ava Grace, Mitchell, Paul, Goh, Rick S. M., Xu, Xinxing, Liu, Yong, Wong, Tien Yin, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Technical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154193/
https://www.ncbi.nlm.nih.gov/pubmed/37118370
http://dx.doi.org/10.1038/s43587-022-00171-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154193/
https://www.ncbi.nlm.nih.gov/pubmed/37118370
http://dx.doi.org/10.1038/s43587-022-00171-6

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