Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review

Farahnaz Sadoughi,1 Zahra Kazemy,1 Farahnaz Hamedan,1 Leila Owji,1 Meysam Rahmanikatigari,2 Tahere Talebi Azadboni1 1Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran; 2Social Determinants of Health Re...

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Autores principales:	Sadoughi F, Kazemy Z, Hamedan F, Owji L, Rahmanikatigari M, Talebi Azadboni T
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2018
Materias:	Breast Cancer Breast Cancer Screening Techniques Artificial Intelligence Techniques Medical Image Processing Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/42d3a06ff83b40f391dc03a93e77cafd
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spelling	oai:doaj.org-article:42d3a06ff83b40f391dc03a93e77cafd2021-12-02T08:26:18ZArtificial intelligence methods for the diagnosis of breast cancer by image processing: a review1179-1314https://doaj.org/article/42d3a06ff83b40f391dc03a93e77cafd2018-11-01T00:00:00Zhttps://www.dovepress.com/artificial-intelligence-methods-for-the-diagnosis-of-breast-cancer-by--peer-reviewed-article-BCTThttps://doaj.org/toc/1179-1314Farahnaz Sadoughi,1 Zahra Kazemy,1 Farahnaz Hamedan,1 Leila Owji,1 Meysam Rahmanikatigari,2 Tahere Talebi Azadboni1 1Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran; 2Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran Abstract: Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide; thus, its early diagnosis has a significant impact on reducing mortality. However, it is often difficult to diagnose breast abnormalities. Different tools such as mammography, ultrasound, and thermography have been developed to screen breast cancer. In this way, the computer helps radiologists identify chest abnormalities more efficiently using image processing and artificial intelligence (AI) tools. This article examined various methods of AI using image processing to diagnose breast cancer. It was a review study through library and Internet searches. By searching the databases such as Medical Literature Analysis and Retrieval System Online (MEDLINE) via PubMed, Springer, IEEE, ScienceDirect, and Gray Literature (including Google Scholar, articles published in conferences, government technical reports, and other materials not controlled by scientific publishers) and searching for breast cancer keywords, AI and medical image processing techniques were extracted. The results were provided in tables to demonstrate different techniques and their results over recent years. In this study, 18,651 articles were extracted from 2007 to 2017. Among them, those that used similar techniques and reported similar results were excluded and 40 articles were finally examined. Since each of the articles used image processing, a list of features related to the image used in each article was also provided. The results showed that support vector machines had the highest accuracy percentage for different types of images (ultrasound =95.85%, mammography =93.069%, thermography =100%). Computerized diagnosis of breast cancer has greatly contributed to the development of medicine, is constantly being used by radiologists, and is clear in ethical and medical fields with regard to its effects. Computer-assisted methods increase diagnosis accuracy by reducing false positives. Keywords: breast cancer, breast cancer screening techniques, artificial intelligence techniques, medical image processingSadoughi FKazemy ZHamedan FOwji LRahmanikatigari MTalebi Azadboni TDove Medical PressarticleBreast CancerBreast Cancer Screening TechniquesArtificial Intelligence TechniquesMedical Image ProcessingNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENBreast Cancer: Targets and Therapy, Vol Volume 10, Pp 219-230 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Breast Cancer Breast Cancer Screening Techniques Artificial Intelligence Techniques Medical Image Processing Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Breast Cancer Breast Cancer Screening Techniques Artificial Intelligence Techniques Medical Image Processing Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Sadoughi F Kazemy Z Hamedan F Owji L Rahmanikatigari M Talebi Azadboni T Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
description	Farahnaz Sadoughi,1 Zahra Kazemy,1 Farahnaz Hamedan,1 Leila Owji,1 Meysam Rahmanikatigari,2 Tahere Talebi Azadboni1 1Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran; 2Social Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran Abstract: Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide; thus, its early diagnosis has a significant impact on reducing mortality. However, it is often difficult to diagnose breast abnormalities. Different tools such as mammography, ultrasound, and thermography have been developed to screen breast cancer. In this way, the computer helps radiologists identify chest abnormalities more efficiently using image processing and artificial intelligence (AI) tools. This article examined various methods of AI using image processing to diagnose breast cancer. It was a review study through library and Internet searches. By searching the databases such as Medical Literature Analysis and Retrieval System Online (MEDLINE) via PubMed, Springer, IEEE, ScienceDirect, and Gray Literature (including Google Scholar, articles published in conferences, government technical reports, and other materials not controlled by scientific publishers) and searching for breast cancer keywords, AI and medical image processing techniques were extracted. The results were provided in tables to demonstrate different techniques and their results over recent years. In this study, 18,651 articles were extracted from 2007 to 2017. Among them, those that used similar techniques and reported similar results were excluded and 40 articles were finally examined. Since each of the articles used image processing, a list of features related to the image used in each article was also provided. The results showed that support vector machines had the highest accuracy percentage for different types of images (ultrasound =95.85%, mammography =93.069%, thermography =100%). Computerized diagnosis of breast cancer has greatly contributed to the development of medicine, is constantly being used by radiologists, and is clear in ethical and medical fields with regard to its effects. Computer-assisted methods increase diagnosis accuracy by reducing false positives. Keywords: breast cancer, breast cancer screening techniques, artificial intelligence techniques, medical image processing
format	article
author	Sadoughi F Kazemy Z Hamedan F Owji L Rahmanikatigari M Talebi Azadboni T
author_facet	Sadoughi F Kazemy Z Hamedan F Owji L Rahmanikatigari M Talebi Azadboni T
author_sort	Sadoughi F
title	Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
title_short	Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
title_full	Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
title_fullStr	Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
title_full_unstemmed	Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
title_sort	artificial intelligence methods for the diagnosis of breast cancer by image processing: a review
publisher	Dove Medical Press
publishDate	2018
url	https://doaj.org/article/42d3a06ff83b40f391dc03a93e77cafd
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Artificial intelligence methods for the diagnosis of breast cancer by image processing: a review

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