First Name
Zengshuo
Last Name
Wang
Dataset Entries from this Author
RISeR-syn is generated using the method described in our paper. We select 10 retinal images which are from different eyes, and take one of them as a given reference image each time to generate 5 different types of synthetic retinal image sequences, resulting in a total of 50 sequences, each consisting of 6 synthetic retinal images.
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RISeR-real contains 10 longitudinal retinal image sequences. Each sequence consists of 5 or 6 retinal images. And each retinal image sequence has no presence of any other fundus diseases except the obvious myopia onset and progression.
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Fundus Image Myopia Development (FIMD) dataset contains 70 retinal image pairs, in which, there is obvious myopia development between each pair of images. In addition, each pair of retinal images has a large overlap area, and there is no other retinopathy. In order to perform a reliable quantitative evaluation of registration results, we follow the annotation method of Fundus Image Registration (FIRE) dataset [1] to label control points between the pair of retinal images with the help of experienced ophthalmologists. Each image p
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