Goblet Cell Segmentation Dataset

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Fredrik Andreas Fineide, Jeffrey A. Bair, Tor Paaske Utheim, Michael Alexander Riegler, Darlene Dartt
DOI: 10.5281/zenodo.18517381
Cited by: 0

Abstract

The Goblet Cell Segmentation Dataset is a expertly annotated semantic segmentation dataset containing images of human conjunctival goblet cells and corresponding segmentation masks compatible with several state of the art machine learning computer vision models. The dataset contains an unpatched version with the original sized images as well as a patched version in which the original images are patched into 256x256 pixel images and masks.

Fields of Study & Subjects

Retinal Imaging and Analysis Medical Image Segmentation Techniques Advanced Neural Network Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Dataset