COph100: A comprehensive fundus image registration dataset from infants constituting the "RIDIRP" database
Journal:
arXiv
Published Date:
Jan 6, 2025
Abstract
Retinal image registration is vital for diagnostic therapeutic applications
within the field of ophthalmology. Existing public datasets, focusing on adult
retinal pathologies with high-quality images, have limited number of image
pairs and neglect clinical challenges. To address this gap, we introduce
COph100, a novel and challenging dataset known as the Comprehensive
Ophthalmology Retinal Image Registration dataset for infants with a wide range
of image quality issues constituting the public "RIDIRP" database. COph100
consists of 100 eyes, each with 2 to 9 examination sessions, amounting to a
total of 491 image pairs carefully selected from the publicly available
dataset. We manually labeled the corresponding ground truth image points and
provided automatic vessel segmentation masks for each image. We have assessed
COph100 in terms of image quality and registration outcomes using
state-of-the-art algorithms. This resource enables a robust comparison of
retinal registration methodologies and aids in the analysis of disease
progression in infants, thereby deepening our understanding of pediatric
ophthalmic conditions.
