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        <datestamp>2026-10-01T12:06:55Z</datestamp>
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          <dc:title>&lt;b&gt;A single-centre ultra-widefield fundus image dataset for multi-disease retinal recognition&lt;/b&gt;</dc:title>
          <dc:creator>昊天 于 (24225816)</dc:creator>
          <dc:subject>Ophthalmology</dc:subject>
          <dc:subject>Vision science</dc:subject>
          <dc:subject>ultra-widefield fundus imaging; ZEISS CLARUS 700; retinal image dataset; fundus photography; multi-label classification; diabetic retinopathy; retinal vein occlusion; high myopia; image quality assessment; deep learning benchmark; ophthalmic imaging; medical image analysis</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset, CLARUS-700-MDR, contains 1,052 de-identified ultra-widefield fundus images acquired using the ZEISS CLARUS 700 system. All images are 133° frontal F2 true-color fundus images, defined in this project as macula-centered frontal images with the optic disc visible whenever possible.The dataset includes multiple image file formats, including TIFF, JPG, and PNG. Each image is assigned a de-identified image ID and is accompanied by image-level multi-label annotations for retinal disease classification and image quality assessment.The disease label system includes normal, diabetic retinopathy (DR), retinal vein occlusion (RVO), high myopia / pathological myopia-related changes, and other retinal diseases. AMD or macular lesions are not used as an independent label in this version and may be included under other_disease when applicable. A derived multi_disease field indicates images with two or more positive disease labels.The dataset is designed to support research on multi-label retinal disease classification, image quality assessment, patient-level train/validation/test splitting, and deep learning benchmark evaluation using ultra-widefield fundus images. All released images and metadata are de-identified, and internal de-identification mapping files are not included in the public dataset.&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T12:06:55Z</dc:date>
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