Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices
Paper recorded by Signals 4 on 2026-08-31 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01
Category: cs.CV · 计算机视觉 · first seen 2026-09-01
Abstract
Patient identity errors can compromise longitudinal medical records, research databases, and downstream clinical decisions. We present a retinal biometric system for verifying claimed identities and retrieving the correct identity from color fundus images. We trained a 512-dimensional metric-learning encoder combining a ConvNeXtV2 backbone with ArcFace and triplet losses on 227,004 images from 21,
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Cite this page: Robust retinal biometrics for patient identity verification and retrieval across age and imaging devices: the #197 most recent of 237 cs.CV papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/robust-retinal-biometrics-for-patient-identity-verification-and-retrieval-across.html
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