Development of Human Conjunctival Goblet Cell Segmentation Datasets to Improve Quantitation.

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Bibliographic Details
Title: Development of Human Conjunctival Goblet Cell Segmentation Datasets to Improve Quantitation.
Authors: Fineide FA; Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway. frefin@so-hf.no.; Department of Ophthalmology, Østfold Hospital Trust, Moss, Norway. frefin@so-hf.no.; The Norwegian Dry Eye Clinic, Ole Vigs Gate 32 E, 0366, Oslo, Norway. frefin@so-hf.no.; Department of Computer Science, Oslo Metropolitan University, Oslo, Norway. frefin@so-hf.no.; Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway. frefin@so-hf.no., Bair J; The Norwegian Dry Eye Clinic, Ole Vigs Gate 32 E, 0366, Oslo, Norway.; Department of Ophthalmology, Sørlandet Hospital Trust, 4838, Arendal, Norway.; Schepens Eye Research Institute, Mass Eye and Ear, Harvard Medical School Boston MA, Boston, USA., Utheim TP; Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway.; Department of Ophthalmology, Østfold Hospital Trust, Moss, Norway.; The Norwegian Dry Eye Clinic, Ole Vigs Gate 32 E, 0366, Oslo, Norway.; Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.; Department of Ophthalmology, Sørlandet Hospital Trust, 4838, Arendal, Norway.; Department of Ophthalmology, Sørlandet Hospital Arendal, Arendal, Norway.; Department of Ophthalmology, Stavanger University Hospital, Oslo, Norway., Riegler MA; Department of Computer Science, Oslo Metropolitan University, Oslo, Norway.; Simula Research Laboratory, Oslo, Norway., Dartt DA; Schepens Eye Research Institute, Mass Eye and Ear, Harvard Medical School Boston MA, Boston, USA.
Source: Scientific data [Sci Data] 2026 May 09; Vol. 13 (1). Date of Electronic Publication: 2026 May 09.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4463
DOI:10.1038/s41597-026-07309-w