A Catalog of Public Glaucoma Datasets for Machine Learning Applications: A detailed description and analysis of public glaucoma datasets available to machine learning engineers tackling glaucoma-related problems using retinal fundus images and OCT images.

  • Riley Kiefer
  • , Muhammad Abid
  • , Jessica Steen
  • , Mahsa Raeisi Ardali
  • , Ehsan Amjadian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Glaucoma is a leading eye disease impacting millions of people. While the number of public glaucoma datasets are limited, those available are diverse in the population of patients, glaucoma subtypes, and other features. The complexity of disease datasets like glaucoma requires detailed catalogs to accurately describe the numerous dataset features. To increase the accessibility of glaucoma research, this work provides a comprehensive glaucoma dataset catalog by standardizing various dataset attributes into several organized tables. Data documentation can ensure high-quality AI models.

Original languageEnglish
Title of host publicationICISDM 2023 - 7th International Conference on Information System and Data Mining
PublisherAssociation for Computing Machinery (ACM)
Pages24-31
Number of pages8
ISBN (Electronic)9798400700637
DOIs
StatePublished - Oct 2023
Event7th International Conference on Information System and Data Mining, ICISDM 2023 - Atlanta, United States
Duration: May 10 2023May 12 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Information System and Data Mining, ICISDM 2023
Country/TerritoryUnited States
CityAtlanta
Period5/10/235/12/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

ASJC Scopus Subject Areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Keywords

  • Catalog
  • Computer Vision
  • Dataset
  • Glaucoma
  • Machine-Learning
  • Survey

Disciplines

  • Graphics and Human Computer Interfaces
  • OS and Networks
  • Software Engineering

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