Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras

CONCLUSION: DL algorithms based on ASPs can detect presence of and referable-level pterygium with optimal sensitivity and specificity. These algorithms, particularly if used with a handheld camera, may potentially be used as a simple screening tool for detection of referable pterygium. Further validation in community setting is warranted.SYNOPSIS/PRECIS: DL algorithms based on ASPs can detect presence of and referable-level pterygium optimally, and may be used as a simple screening tool for the detection of referable pterygium in community screenings.PMID:34244208 | DOI:10.1136/bjophthalmol-2021-318866

Source: The British Journal of Ophthalmology - July 10, 2021 Category: Opthalmology Authors: Xiaoling Fang Mihir Deshmukh Miao Li Chee Zhi-Da Soh Zhen Ling Teo Sahil Thakur Jocelyn Hui Lin Goh Yu-Chi Liu Rahat Husain Jodhbir Mehta Tien Yin Wong Ching-Yu Cheng Tyler Hyungtaek Rim Yih-Chung Tham Source Type: research