Machine Learning and Image Processing Techniques for Covid-19 Detection: A Review

被引:0
|
作者
Appari, Neeraj Venkatasai L. [1 ]
Kanojia, Mahendra G. [1 ]
Bangera, Kritik B. [2 ]
机构
[1] Sheth LUJ & Sir MV Coll, Dept Comp Sci, Mumbai, Maharashtra, India
[2] Univ Mumbai, Dept Comp Sci, Mumbai, Maharashtra, India
关键词
Covid-19; Image processing; Machine learning; ALGORITHMS;
D O I
10.1007/978-3-030-96302-6_41
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Covid-19 is a respiratory disease which spreads from person to person. It affects lungs, attacks blood vessels, and causes heart issues so a rapid diagnosis of covid-19 is required. Reverse Transcriptase Polymerase Chain Reaction (RTPCR) is a method used for covid-19 detection, but it is time consuming and labor intensive also it puts the person collecting the sample in danger, hence CT scan and Xray images are used by doctors. Manual classification of covid-19 is possible but AI speeds up the process. Image processing, machine learning and deep learning are few techniques used in AI. To diagnose covid-19 an AI model is required and to train that model a dataset is required, dataset consists of the information from which model is used to train. This paper consists of the review of different image processing and machine learning papers proposed by different researchers. The goal of this paper is to provide information for future researchers to work with.
引用
收藏
页码:441 / 450
页数:10
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