Detection of Cancer in Medical Images using Deep Learning

被引:6
|
作者
Shweikeh, Emad [1 ]
Lu, Joan [1 ]
Al-Rajab, Murad [2 ]
机构
[1] Univ Huddersfield, Dept Informat, Huddersfield, W Yorkshire, England
[2] Abu Dhabi Univ, Dept Comp Sci & Informat Technol, Abu Dhabi, U Arab Emirates
关键词
machine learning (ML); deep learning (DL); image analysis; convolution neural network (CNN); cancer detection; survey; TUMOR;
D O I
10.3991/ijoe.v17i14.27349
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Cancer is a serious disease that causes death by genomic disorder combination and diversity of unreasoning changes. This paper study the major deep learning techniques that are addressing medical image analysis and summarizes over 200 contributed articles to the subject, in particular those studies that are published in the last 6 years (since 2016). The main purpose of this paper study is to survey the deep learning algorithms for cancer detection and diagnosis. the results show that the convolutional neural network (CNN) is the most broadly used when it comes to deep learning and medical image analysis.
引用
收藏
页码:164 / 171
页数:8
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