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AIDK_Dataset.zip (2.39 GB)

An AS-OCT image dataset for deep learning-enabled segmentation and 3D reconstruction for keratitis

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posted on 2024-06-11, 11:13 authored by Yiming Sun, Nuliqiman Maimaiti, Peifang Xu, Jingxuan Cai, Pengjie Chen, Mingyu Xu, Juan Ye
This dataset contains 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 iris for full-frame images. The 2 categories of images are separated into two folders, named “Partial-frame_Dataset” and “Full-frame_Dataset” respectively. In each folder, original AS-OCT images in the BMP format are provided in the “Original_AS-OCT_Images” folder named as “n.bmp”, and corresponding annotated files in the JSON format are provided in the “Experts_Annotations” folder named as “n.json”. Anonymized information about participants was also provided in the file “Demographics of participants.xlsx”.

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