AI-aided segmentation of four types of drusen in volumetric OCT.

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Bibliographic Details
Title: AI-aided segmentation of four types of drusen in volumetric OCT.
Authors: Guo Y; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA.; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA., Hormel TT; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA., Wu AL; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA.; Department of Ophthalmology, Mackay Memorial Hospital, Hsinchu 300044, Taiwan., Gao M; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA.; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA., Hwang TS; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA., Bailey ST; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA., Jia Y; Casey Eye Institute, Oregon Health & Science University, Portland, OR 97239, USA.; Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR 97239, USA.
Source: Biomedical optics express [Biomed Opt Express] 2025 Oct 10; Vol. 16 (11), pp. 4380-4391. Date of Electronic Publication: 2025 Oct 10 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Optica Publishing Group Country of Publication: United States NLM ID: 101540630 Publication Model: eCollection Cited Medium: Print ISSN: 2156-7085 (Print) Linking ISSN: 21567085 NLM ISO Abbreviation: Biomed Opt Express Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2156-7085
DOI:10.1364/BOE.566705