Detection of Cancer in Medical Images using Deep Learning

Emad Shweikeh; Joan Lu; Murad Al-Rajab

doi:10.3991/ijoe.v17i14.27349

Detection of Cancer in Medical Images using Deep Learning

Authors

Emad Shweikeh Department of Informatics, University of Huddersfield, England
Joan Lu Department of Informatics, University of Huddersfield, England
Murad Al-Rajab Department of Computer Science and Information Technology, Abu Dhabi University, United Arab Emirates

DOI:

https://doi.org/10.3991/ijoe.v17i14.27349

Keywords:

Machine Learning (ML), Deep Learning (DL), Image Analysis, Convolution Neural Network (CNN), Cancer Detection, Survey

Abstract

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

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Published

2021-12-14

How to Cite

Shweikeh, E., Lu, J., & Al-Rajab, M. (2021). Detection of Cancer in Medical Images using Deep Learning. International Journal of Online and Biomedical Engineering (iJOE), 17(14), pp. 164–171. https://doi.org/10.3991/ijoe.v17i14.27349