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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Meichen Ji, Yan Song, Jenny Roth, Ava Dashti, Jorge Lazo, Alisa Lincke, António Filipe Teixeira Macedo, Welf Löwe, Neil Lagali
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2026-01-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Deep learning Confocal microscopy Cornea Nerve fibers Dendritic cells Segmentation
Онлайн хандалт:	https://doi.org/10.1038/s41598-025-34412-6
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!