文章基本信息

标题：Classification of Retinal Images Using Convolutional Neural Network
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作者：MAMTHA.G ; S.MOHAN ; Dr.V.JAYARAJ 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：9
页码：31-36
DOI：10.14445/22312803/IJCTT-V68I9P105
出版社：Seventh Sense Research Group
摘要：In the early days, many computer vision algorithms approached this problem from signal processing based on the assumption that the vessels follow particular patterns. Fluorescein angiography (FA) is an established approach to visualize, verify, and understand the effect of retinal disorders. The proposed crossmodality technique, however, builds in invariance to contrast and publicity. The use of parametric chamfer alignment for our registration manner is also wellmatched and advantageous within the proposed automatic method for education data technology for 2 motives matching function factors is pretty difficult for the massive oneofakind CF and FA modalities. By means of the use of parametric chamfer alignment, we put off this undertaking. Second, the chamfer alignment components' uneven nature lets us gain a particular alignment using preliminary vessel detection with a low fake wonderful fee, even if the corresponding proper fine price is also low.
关键词：pooling layer; ReLU layer; Matlab;