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 language | English |
|---|---|
| Title of host publication | ICISDM 2023 - 7th International Conference on Information System and Data Mining |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 24-31 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798400700637 |
| DOIs | |
| State | Published - Oct 2023 |
| Event | 7th International Conference on Information System and Data Mining, ICISDM 2023 - Atlanta, United States Duration: May 10 2023 → May 12 2023 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 7th International Conference on Information System and Data Mining, ICISDM 2023 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 5/10/23 → 5/12/23 |
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