Open AccessDetection of Cancer in Medical Images using Deep Learning
Author(s) -
Emad Shweikeh,
Joan Lu,
Murad Al-Rajab
Publication year - 2021
Publication title -
international journal of online and biomedical engineering
Language(s) - English
Resource type - Journals
ISSN - 2626-8493
DOI - 10.3991/ijoe.v17i14.27349
Subject(s) - deep learning , convolutional neural network , artificial intelligence , computer science , cancer , machine learning , subject (documents) , disease , data science , medicine , pathology , library science
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