Blood
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上传日期：2018-09-04 14:04:10
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VELVLSI
说明： utomated and accurate classification of blood vessels into arteries and veins may help the ophthalmologist to find the retinal disorders. In this paper, we present a novel method for automated detection of hypertensive retinopathy. The proposed system classifies the vessel into arteries and veins using different machine learning techniques and then detects hypertensive retinopathy by computing arteriolar to Venular ratio. The proposed system is tested on one publicly available database and one locally gathered database. The quantitative results show the validity of proposed system
文件列表:
Blood\10.1109@MeMeA.2017.7985897.pdf (990489, 2017-12-21)
Blood\10.1109@MeMeA.2017.7985913.pdf (1784201, 2017-12-21)
Blood\10.1109@MEMSYS.2017.7863437.pdf (1009800, 2017-12-21)
Blood\10.1109@ULTSYM.2017.8091570.pdf (430681, 2017-12-21)
Blood\cao2017.pdf (3086839, 2017-12-21)
Blood\cohen2017(1).pdf (1019345, 2017-12-21)
Blood\cohen2017(2).pdf (1019345, 2017-12-21)
Blood\cohen2017.pdf (1019345, 2017-12-21)
Blood\dias2017.pdf (1273906, 2017-12-21)
Blood\haeffele2017(1).pdf (3590308, 2017-12-21)
Blood\haeffele2017.pdf (3590308, 2017-12-21)
Blood\peter2017.pdf (1013480, 2017-12-21)
Blood\tareef2017.pdf (1590624, 2017-12-21)
Blood\Thumbs.db (53760, 2017-12-21)
Blood (0, 2018-03-05)
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