most citedA deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

44 citations · 44 across the 1 of their papers we have counts for

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eess.IV2022★ 44 cited

A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography

Roy Schwartz, Hagar Khalid, Sandra Liakopoulos +12

Purpose - To develop and validate a deep learning (DL) framework for the detection and quantification of drusen and reticular pseudodrusen (RPD) on optical coherence tomography sca…