ArticleScientific data2024
An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- CeraMIRScan: Mid-infrared OCT Scan Dataset for Ceramic Quality Assessment.Scientific data · 2026Article
- A web-based semi-supervised deep learning platform for automated AS-OCT assessment and monitoring of infectious keratitis.NPJ digital medicine · 2026Article
- Anterior Segment Optical Coherence Tomography with Angiography for the Cornea and Ocular Surface.Journal of clinical medicine · 2026Review
- Trends in Medical Expenses for Ocular Examinations in Japan Based on Nationwide Database Studies.JMA journal · 2025Article
- Digital measurement of pupil size, corneal size, and eccentricity in Guinea pigs using python compared with traditional OCT.Scientific reports · 2025Article
- MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment.Scientific data · 2025Article
- An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis.Scientific data · 2024Article
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11 authors.
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Abstract
Infectious keratitis is among the major causes of global blindness. Anterior segment optical coherence tomography (AS-OCT) images allow the characterizing of cross-sectional structures in the cornea with keratitis thus revealing the severity of inflammation, and can also provide 360-degree information on anterior chambers. The development of image analysis methods for such cases, particularly deep learning methods, requires a large number of annotated images, but to date, there is no such open-access AS-OCT image repository. For this reason, this work provides a dataset containing a total of 1168 AS-OCT images of patients with keratitis, including 768 full-frame images (6 patients). Each image has associated segmentation labels for lesions and cornea, and also labels of iris for full-frame images. This study provides a great opportunity to advance the field of image analysis on AS-OCT images in both two-dimensional (2D) and three-dimensional (3D) and would aid in the development of artificial intelligence-based keratitis management.
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