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| Publications [#380829] of Sina Farsiu
Papers Published
- Soltanian-Zadeh, S; Kovalick, K; Aghayee, S; Miller, DT; Liu, Z; Hammer, DX; Farsiu, S, Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy.,
Biomedical optics express, vol. 15 no. 12
(December, 2024),
pp. 6922-6939, Optica Publishing Group [doi]
(last updated on 2024/12/31)
Abstract: Retinal pigment epithelium (RPE) cells are essential for normal retinal function. Morphological defects in these cells are associated with a number of retinal neurodegenerative diseases. Owing to the cellular resolution and depth-sectioning capabilities, individual RPE cells can be visualized in vivo with adaptive optics-optical coherence tomography (AO-OCT). Rapid, cost-efficient, and objective quantification of the RPE mosaic's structural properties necessitates the development of an automated cell segmentation algorithm. This paper presents a deep learning-based method with partial annotation training for detecting RPE cells in AO-OCT images with accuracy better than human performance. We have made the code, imaging datasets, and the manual expert labels available online.
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