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20182020
most citedDeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs

368 citations · 391 across the 5 of their papers we have counts for

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eess.IV2019

A deep learning approach for automated detection of geographic atrophy from color fundus photographs

Tiarnan D. Keenan, Shazia Dharssi, Yifan Peng +5

Purpose: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting c…