Deep learning-based segmentation and density estimation of corneal nerves and dendritic cells from In Vivo confocal microscopy images

Abstract The purpose of this study was to compare manual assessment of corneal nerve fiber length (CNFL) and dendritic cell (DC) density with an automated assessment method utilizing deep learning segmentation to perform rule-based density estimation. Corneal images were acquired using in vivo confo...

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主要な著者:	Meichen Ji, Yan Song, Jenny Roth, Ava Dashti, Jorge Lazo, Alisa Lincke, António Filipe Teixeira Macedo, Welf Löwe, Neil Lagali
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-01-01
シリーズ:	Scientific Reports
主題:	Deep learning Confocal microscopy Cornea Nerve fibers Dendritic cells Segmentation
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-34412-6
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