典型文献
Image analysis and machine learning-based malaria assessment system
文献摘要：
Malaria is an important and worldwide fatal disease that has been widely reported by the World Health Orga-nization(WHO),and it has about 219 million cases worldwide,with 435,000 of those mortal.The common malaria diagnosis approach is heavily reliant on highly trained experts,who use a microscope to examine the samples.Therefore,there is a need to create an automated solution for the diagnosis of malaria.One of the main objectives of this work is to create a design tool that could be used to diagnose malaria from the image of a blood sample.In this paper,we firstly developed a graphical user interface that could be used to help segment red blood cells and infected cells and allow the users to analyze the blood samples.Secondly,a Feed-forward Neural Network(FNN)is designed to classify the cells into two classes.The achieved results show that the proposed techniques can be used to detect malaria,as it has achieved 92％accuracy with a database that contains 27,560 benchmark images.
文献关键词：
中图分类号：
作者姓名：
Kyle Manning;Xiaojun Zhai;Wangyang Yu
作者机构：
School of Computer Science and Electronic Engineering,University of Essex,Colchester,CO4 3SQ,UK;Key Laboratory of Modem Teaching Technology,Ministry of Education,School of Computer Science Shaanxi Normal University,Xi'an China
文献出处：
引用格式：
[1]Kyle Manning;Xiaojun Zhai;Wangyang Yu-.Image analysis and machine learning-based malaria assessment system)[J].数字通信与网络（英文）,2022(02):132-142
A类：
Orga
B类：
Image,analysis,machine,learning,malaria,assessment,system,Malaria,important,worldwide,fatal,disease,that,has,been,widely,reported,by,World,Health,nization,WHO,about,million,cases,those,mortal,common,diagnosis,approach,heavily,reliant,highly,trained,experts,who,microscope,examine,samples,Therefore,there,need,create,automated,solution,One,main,objectives,this,tool,could,used,diagnose,from,blood,In,paper,we,firstly,developed,graphical,interface,help,segment,red,cells,infected,allow,users,analyze,Secondly,Feed,forward,Neural,Network,FNN,designed,classify,into,classes,achieved,results,show,proposed,techniques,can,detect,accuracy,database,contains,benchmark,images
AB值：
0.617807
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