Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation

Résumé

This article presents a photoreceptor detection algorithm applied to in-vivo Adaptive Optics (AO) images of the retina obtained from an advanced ophthalmic diagnosis device. Our algorithm is based on a recursive construction of thresholded connected components when the seeds of the recursions are the regional maxima of the deconvoluted image. This algorithm is validated on a gold standard dataset obtained thanks to manual cones detections made by ophtalmologist physicians.
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Dates et versions

hal-02882938 , version 1 (28-06-2020)

Identifiants

Citer

Kevin Loquin, Isabelle Bloch, Kiyoko Nakashima, Florence Rossant, Pierre-Yves Boëlle, et al.. Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation. ICIAR, Jun 2012, Aveiro, Portugal. ⟨10.1007/978-3-642-31298-4_48⟩. ⟨hal-02882938⟩
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