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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Ngā kaituhi matua:	Meichen Ji, Yan Song, Jenny Roth, Ava Dashti, Jorge Lazo, Alisa Lincke, António Filipe Teixeira Macedo, Welf Löwe, Neil Lagali
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Nature Portfolio 2026-01-01
Rangatū:	Scientific Reports
Ngā marau:	Deep learning Confocal microscopy Cornea Nerve fibers Dendritic cells Segmentation
Urunga tuihono:	https://doi.org/10.1038/s41598-025-34412-6
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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

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