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Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method.

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第一作者： Vidas,Raudonis

第一单位： Automation Department, Kaunas University of Technology, 51368 Kaunas, Lithuania.

作者： Vidas,Raudonis ^[1] ; Arturas,Kairys ^[1] ; Rasa,Verkauskiene ^[2] ; Jelizaveta,Sokolovska ^[3] ; Goran,Petrovski ^[4] ; Vilma Jurate,Balciuniene ^[5] ; Vallo,Volke ^[6]

作者单位： Automation Department, Kaunas University of Technology, 51368 Kaunas, Lithuania. ^[1] Institute of Endocrinology, Lithuanian University of Health Sciences, 50140 Kaunas, Lithuania. ^[2] Faculty of Medicine, University of Latvia, 1004 Riga, Latvia. ^[3] Center of Eye Research and Innovative Diagnostics, Department of Ophthalmology, Oslo University Hospital and Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway.;Department of Ophthalmology, University of Split School of Medicine and University Hospital Centre, 21000 Split, Croatia. ^[4] Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania. ^[5] Faculty of Medicine, Tartu University, 50411 Tartu, Estonia. ^[6]

关键词 diabetic retinopathy (DR)encoder-decoder deep neural network image segmentation microaneurysms (MAs)

医学主题词人类(Humans);眼底(Fundus Oculi);糖尿病视网膜病变(Diabetic Retinopathy);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.3390/s23073431

PMID 37050491

发布时间 2023-04-15

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准确一般字义偏差语意偏离译文作用小提交