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

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”.

本数据集共计包含1168张角膜炎患者的AS-OCT图像，其中包含768张全帧图像（涉及6名患者）。每张图像均附有病变和角膜的分割标签，对于全帧图像还包括虹膜的标签。两类图像分别存储于名为“Partial-frame_Dataset”和“Full-frame_Dataset”的独立文件夹中。在每个文件夹内，原始的AS-OCT图像以BMP格式存储于“Original_AS-OCT_Images”文件夹，并以“n.bmp”命名，相应的标注文件以JSON格式存储于“Experts_Annotations”文件夹，并以“n.”命名。此外，还提供了参与者的匿名信息，存储于“Demographics of participants.xlsx”文件中。