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pro vyhledávání: '"Xiaoshuang Shi, PhD"'
Autor:
Xiaoshuang Shi, PhD, Tiarnan D.L. Keenan, MD, Qingyu Chen, PhD, Tharindu De Silva, PhD, Alisa T. Thavikulwat, MD, Geoffrey Broadhead, MD, Sanjeeb Bhandari, MD, Catherine Cukras, MD, Emily Y. Chew, MD, Zhiyong Lu, PhD
Publikováno v:
Ophthalmology Science, Vol 1, Iss 3, Pp 100038- (2021)
Purpose: Manually identifying geographic atrophy (GA) presence and location on OCT volume scans can be challenging and time consuming. This study developed a deep learning model simultaneously (1) to perform automated detection of GA presence or abse
Externí odkaz:
https://doaj.org/article/f346cce178b9419ca639091b1584bd60
