2022
DOI: 10.1002/mp.15848
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Automatic segmentation of hyperreflective dots via focal priors and visual saliency

Abstract: Purpose Hyperreflective dots (HRDs) can be observed in spectral domain optical coherence tomography (SD‐OCT), which can provide a sensitive marker in the treatment decision process. Quantitative analyses of HRDs are the key to make appropriate decisions on observation, treatment, and retreatment. The purpose of this study is to automatically and accurately segment HRDs in SD‐OCT B‐scans with diabetic retinopathy (DR). Methods The authors propose an automatic segmentation algorithm of HRDs via focal priors and … Show more

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Cited by 4 publications
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“…Several recent studies have proposed semi-automatic or automatic approaches for the characterization of hyperreflective dots. Again, focus has mostly been on macular edema [23], but also on patients with retinopathy without edema [24,25]. Despite the emergence of angiographic OCT and improved automatic identification, it has, to the best of our knowledge, still not been demonstrated that many of the hyperreflective dots in the inner nuclear layer are simply capillaries, as we do in this study.…”
Section: Discussionmentioning
confidence: 74%
“…Several recent studies have proposed semi-automatic or automatic approaches for the characterization of hyperreflective dots. Again, focus has mostly been on macular edema [23], but also on patients with retinopathy without edema [24,25]. Despite the emergence of angiographic OCT and improved automatic identification, it has, to the best of our knowledge, still not been demonstrated that many of the hyperreflective dots in the inner nuclear layer are simply capillaries, as we do in this study.…”
Section: Discussionmentioning
confidence: 74%