HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal

Published: 17 June 2024| Version 3 | DOI: 10.17632/xw5xc7xrmp.3
Contributors:
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Description

HVDROPDB_RetCam_Neo_Segmentation and HVDROPDB_RetCam_Neo_Classification are the first datasets to be published for the retinal structure segmentation to identify the Retinopathy of Prematurity (ROP). They are prepared by screening the preterm infants visiting PBMA's H.V. Desai Eye Hospital, Pune with two diverse imaging systems RetCam and Neo. The Segmentation dataset contains sub-datasets for the segmentation of optic disc, blood vessels, and demarcation line/ridge from the fundus images of preterm infants, annotated by a group of ROP experts. Each sub-dataset contains retinal fundus images of premature infants with the ground truths prepared manually to assist researchers in developing an explainable automated ROP screening system. The Classification sub-datasets contain ROP and Normal images.

Files

Steps to reproduce

Download the images and masks and use them directly.

Institutions

PBMA'S HV Desai Eye Hospital

Categories

Artificial Intelligence, Retinopathy of Prematurity

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