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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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Main Authors: Abdul Halim, Ahmad Ashraf, Andrew, Allan Melvin, Mohd Yasin, Mohd Najib, Abd Rahman, Mohd Amiruddin, Jusoh, Muzammil, Veeraperumal, Vijayasarveswari, A. Rahim @ Samsuddin, Hasliza, Illahi, Usman, Abdul Karim, Muhammad Khalis, Scavino, Edgar
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
Online Access:http://psasir.upm.edu.my/id/eprint/97194/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/97194/
https://www.mdpi.com/2076-3417/11/22/10753
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spelling my.upm.eprints.971942022-09-13T08:36:56Z http://psasir.upm.edu.my/id/eprint/97194/ Existing and emerging breast cancer detection technologies and its challenges: a review Abdul Halim, Ahmad Ashraf Andrew, Allan Melvin Mohd Yasin, Mohd Najib Abd Rahman, Mohd Amiruddin Jusoh, Muzammil Veeraperumal, Vijayasarveswari A. Rahim @ Samsuddin, Hasliza Illahi, Usman Abdul Karim, Muhammad Khalis Scavino, Edgar 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. Multidisciplinary Digital Publishing Institute 2021 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/97194/1/ABSTRACT.pdf Abdul Halim, Ahmad Ashraf and Andrew, Allan Melvin and Mohd Yasin, Mohd Najib and Abd Rahman, Mohd Amiruddin and Jusoh, Muzammil and Veeraperumal, Vijayasarveswari and A. Rahim @ Samsuddin, Hasliza and Illahi, Usman and Abdul Karim, Muhammad Khalis and Scavino, Edgar (2021) Existing and emerging breast cancer detection technologies and its challenges: a review. Applied Sciences, 11. art. no. 10753. pp. 1-21. ISSN 2076-3417 https://www.mdpi.com/2076-3417/11/22/10753 10.3390/app112210753
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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 Abdul Halim, Ahmad Ashraf
Andrew, Allan Melvin
Mohd Yasin, Mohd Najib
Abd Rahman, Mohd Amiruddin
Jusoh, Muzammil
Veeraperumal, Vijayasarveswari
A. Rahim @ Samsuddin, Hasliza
Illahi, Usman
Abdul Karim, Muhammad Khalis
Scavino, Edgar
spellingShingle Abdul Halim, Ahmad Ashraf
Andrew, Allan Melvin
Mohd Yasin, Mohd Najib
Abd Rahman, Mohd Amiruddin
Jusoh, Muzammil
Veeraperumal, Vijayasarveswari
A. Rahim @ Samsuddin, Hasliza
Illahi, Usman
Abdul Karim, Muhammad Khalis
Scavino, Edgar
Existing and emerging breast cancer detection technologies and its challenges: a review
author_facet Abdul Halim, Ahmad Ashraf
Andrew, Allan Melvin
Mohd Yasin, Mohd Najib
Abd Rahman, Mohd Amiruddin
Jusoh, Muzammil
Veeraperumal, Vijayasarveswari
A. Rahim @ Samsuddin, Hasliza
Illahi, Usman
Abdul Karim, Muhammad Khalis
Scavino, Edgar
author_sort Abdul Halim, Ahmad Ashraf
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 Multidisciplinary Digital Publishing Institute
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/97194/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/97194/
https://www.mdpi.com/2076-3417/11/22/10753
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score 13.211869

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