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RetinaDA:a diverse dataset for domain adaptation in retinal vessel segmentation
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作者 Fei GUO Shaojia YANG +5 位作者 Rui GE Wenjuan LI Aihong LU Rongzhen FENG Wu FANG Qiangguo JIN 《Frontiers of Computer Science》 2025年第8期115-116,共2页
1 Introduction Retinal vessel analysis plays a crucial role in the detection and management of various systemic and ocular diseases,such as diabetic retinopathy,hypertension and cardiovascular disorders[1].Precise seg... 1 Introduction Retinal vessel analysis plays a crucial role in the detection and management of various systemic and ocular diseases,such as diabetic retinopathy,hypertension and cardiovascular disorders[1].Precise segmentation of retinal vessels from fundus images enables clinicians to analyze vessel morphology,which can reveal disease progression or underlying conditions.Over recent years,deep learning methods have significantly advanced retinal vessel segmentation. 展开更多
关键词 learning methods diabetic retinopathyhypertension systemic ocular diseasessuch cardiovascular disorders precise retinal vessel segmentation retinal vessel analysis analyze vessel morphologywhich fundus images
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