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| PUWF-AV: Pediatric Ultra-Widefield Fundus Artery-Vein Segmentation Dataset | .zip | Chenkai Zhao, Zheng Yong, Zijin Wang, Suhang Mao, Hengheng Wu, Mengting Cao, Huimin Zhou, Wenli Xu, Hui Zhu, Yonghui Gu, Jiong Li, Yuan Lin, Zhibin Hu, Yan Zong, Jiangbo Du, Hu Liu | Retinal artery-vein segmentation has emerged as an important task in medical image analysis, given the close associations between retinal vascular parameters and a wide range of systemic biomarkers and health outcomes. Although several public datasets have been established, important gaps remain due to the lack of pediatric data and the scarcity of ultra-widefield (UWF) fundus images, a novel modality capable of capturing richer features across a broader field of view. In this study, we present the Pediatric Ultra-Widefield Fundus Artery-Vein segmentation (PUWF-AV) dataset, comprising 60 UWF fundus images annotated for artery-vein segmentation by professional ophthalmologists. To the best of our knowledge, this is the first UWF fundus image dataset for artery-vein segmentation in a pediatric population. Technical validation demonstrates the reliability of the dataset, highlighting its potential to advance the development of artery-vein segmentation methods for UWF fundus images in children. | Pediatrics; Ophthalmology; Artery and vein segmentation; Medical imaging; Retina. | Manuscript in preparation |
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