ArticleBiomedical optics express2025
ISOSNet: a unified framework for cone photoreceptor detection and inner segment and outer segment length measurement from AO-OCT B-scans.
Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Adaptive Temporal Mixture of Experts for Predicting Stiffness Metrics From the Ocular Response Analyzer and Identifying Keratoconus.American journal of ophthalmology · 2026Observational
- ISOSNet: a unified framework for cone photoreceptor detection and inner segment and outer segment length measurement from AO-OCT B-scans.Biomedical optics express · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
Adaptive optics-optical coherence tomography (AO-OCT) enables cellular-level in vivo visualization of cone photoreceptors in the human retina. Cone biomarkers, such as density, inner segment (IS), and outer segment (OS) lengths, are potentially important for the early detection of many outer retinal conditions. However, their dense spatial packing necessitates automated analytical methods, and most existing approaches focus primarily on cone detection without addressing their detailed structural characteristics. To address this limitation, a unified neural network, termed ISOSNet, is introduced for simultaneous cone detection and IS/OS length measurement. Labeled AO-OCT B-scan datasets, encompassing healthy individuals across multiple retinal locations, were collected for model training and evaluation. Experimental results demonstrate an F1 score of 0.886 for cone detection and relative error rates of 6% and 11% for IS and OS length measurement, respectively. Validation on images from diseased retinas-despite the model being trained only on healthy retina data-highlights the generalizability of the proposed framework.
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Registered trials
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