Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventu...

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Autores principales:	Ahmad Ashraf Abdul Halim, Allan Melvin Andrew, Mohd Najib Mohd Yasin, Mohd Amiruddin Abd Rahman, Muzammil Jusoh, Vijayasarveswari Veeraperumal, Hasliza A Rahim, Usman Illahi, Muhammad Khalis Abdul Karim, Edgar Scavino
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	breast cancer detection feature selection feature fusion machine learning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/b849cec0e56f40c3b84f3b79581a4c2d
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spelling	oai:doaj.org-article:b849cec0e56f40c3b84f3b79581a4c2d2021-11-25T16:37:27ZExisting and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review10.3390/app1122107532076-3417https://doaj.org/article/b849cec0e56f40c3b84f3b79581a4c2d2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10753https://doaj.org/toc/2076-3417Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventually help reduce the women mortality rate. Reliability issues limit the current clinical detection techniques, such as Ultra-Sound, Mammography, and Magnetic Resonance Imaging (MRI) from screening images for precise elucidation. The capability to detect a tumor in early diagnosis, expensive, relatively long waiting time due to pandemic and painful procedure for a patient to perform. This article aims to review breast cancer screening methods and recent technological advancements systematically. In addition, this paper intends to explore the progression and challenges of AI in breast cancer detection. The next state of the art between image and signal processing will be presented, and their performance is compared. This review will facilitate the researcher to insight the view of breast cancer detection technologies advancement and its challenges.Ahmad Ashraf Abdul HalimAllan Melvin AndrewMohd Najib Mohd YasinMohd Amiruddin Abd RahmanMuzammil JusohVijayasarveswari VeeraperumalHasliza A RahimUsman IllahiMuhammad Khalis Abdul KarimEdgar ScavinoMDPI AGarticlebreast cancer detectionfeature selectionfeature fusionmachine learningTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10753, p 10753 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer detection feature selection feature fusion machine learning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	breast cancer detection feature selection feature fusion machine learning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Ahmad Ashraf Abdul Halim Allan Melvin Andrew Mohd Najib Mohd Yasin Mohd Amiruddin Abd Rahman Muzammil Jusoh Vijayasarveswari Veeraperumal Hasliza A Rahim Usman Illahi Muhammad Khalis Abdul Karim Edgar Scavino Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
description	Breast cancer is the most leading cancer occurring in women and is a significant factor in female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments for breast cancer detection can lead to a proper treatment to affected patients as early as possible that eventually help reduce the women mortality rate. Reliability issues limit the current clinical detection techniques, such as Ultra-Sound, Mammography, and Magnetic Resonance Imaging (MRI) from screening images for precise elucidation. The capability to detect a tumor in early diagnosis, expensive, relatively long waiting time due to pandemic and painful procedure for a patient to perform. This article aims to review breast cancer screening methods and recent technological advancements systematically. In addition, this paper intends to explore the progression and challenges of AI in breast cancer detection. The next state of the art between image and signal processing will be presented, and their performance is compared. This review will facilitate the researcher to insight the view of breast cancer detection technologies advancement and its challenges.
format	article
author	Ahmad Ashraf Abdul Halim Allan Melvin Andrew Mohd Najib Mohd Yasin Mohd Amiruddin Abd Rahman Muzammil Jusoh Vijayasarveswari Veeraperumal Hasliza A Rahim Usman Illahi Muhammad Khalis Abdul Karim Edgar Scavino
author_facet	Ahmad Ashraf Abdul Halim Allan Melvin Andrew Mohd Najib Mohd Yasin Mohd Amiruddin Abd Rahman Muzammil Jusoh Vijayasarveswari Veeraperumal Hasliza A Rahim Usman Illahi Muhammad Khalis Abdul Karim Edgar Scavino
author_sort	Ahmad Ashraf Abdul Halim
title	Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
title_short	Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
title_full	Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
title_fullStr	Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
title_full_unstemmed	Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review
title_sort	existing and emerging breast cancer detection technologies and its challenges: a review
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b849cec0e56f40c3b84f3b79581a4c2d
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Existing and Emerging Breast Cancer Detection Technologies and Its Challenges: A Review

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