King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)

The current era is characterized by the rapidly increasing use of computer-aided diagnosis (CAD) systems in the medical field. These systems need a variety of datasets to help develop, evaluate, and compare their performances fairly. Physicians indicated that breast anatomy, especially dense ones, a...

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Autores principales: Asmaa S. Alsolami, Wafaa Shalash, Wafaa Alsaggaf, Sawsan Ashoor, Haneen Refaat, Mohammed Elmogy
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/f27907db8aa743439b31186dda265ff9
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spelling oai:doaj.org-article:f27907db8aa743439b31186dda265ff92021-11-25T17:19:49ZKing Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)10.3390/data61101112306-5729https://doaj.org/article/f27907db8aa743439b31186dda265ff92021-10-01T00:00:00Zhttps://www.mdpi.com/2306-5729/6/11/111https://doaj.org/toc/2306-5729The current era is characterized by the rapidly increasing use of computer-aided diagnosis (CAD) systems in the medical field. These systems need a variety of datasets to help develop, evaluate, and compare their performances fairly. Physicians indicated that breast anatomy, especially dense ones, and the probability of breast cancer and tumor development, vary highly depending on race. Researchers reported that breast cancer risk factors are related to culture and society. Thus, there is a massive need for a local dataset representing breast cancer in our region to help develop and evaluate automatic breast cancer CAD systems. This paper presents a public mammogram dataset called King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD) version 1. To our knowledge, KAU-BCMD is the first dataset in Saudi Arabia that deals with a large number of mammogram scans. The dataset was collected from the Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer at King Abdulaziz University. It contains 1416 cases. Each case has two views for both the right and left breasts, resulting in 5662 images based on the breast imaging reporting and data system. It also contains 205 ultrasound cases corresponding to a part of the mammogram cases, with 405 images as a total. The dataset was annotated and reviewed by three different radiologists. Our dataset is a promising dataset that contains different imaging modalities for breast cancer with different cancer grades for Saudi women.Asmaa S. AlsolamiWafaa ShalashWafaa AlsaggafSawsan AshoorHaneen RefaatMohammed ElmogyMDPI AGarticlebreast cancer mammogram datasetultrasound breast cancer scansBI-RADSclinical dataBibliography. Library science. Information resourcesZENData, Vol 6, Iss 111, p 111 (2021)
institution DOAJ
collection DOAJ
language EN
topic breast cancer mammogram dataset
ultrasound breast cancer scans
BI-RADS
clinical data
Bibliography. Library science. Information resources
Z
spellingShingle breast cancer mammogram dataset
ultrasound breast cancer scans
BI-RADS
clinical data
Bibliography. Library science. Information resources
Z
Asmaa S. Alsolami
Wafaa Shalash
Wafaa Alsaggaf
Sawsan Ashoor
Haneen Refaat
Mohammed Elmogy
King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
description The current era is characterized by the rapidly increasing use of computer-aided diagnosis (CAD) systems in the medical field. These systems need a variety of datasets to help develop, evaluate, and compare their performances fairly. Physicians indicated that breast anatomy, especially dense ones, and the probability of breast cancer and tumor development, vary highly depending on race. Researchers reported that breast cancer risk factors are related to culture and society. Thus, there is a massive need for a local dataset representing breast cancer in our region to help develop and evaluate automatic breast cancer CAD systems. This paper presents a public mammogram dataset called King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD) version 1. To our knowledge, KAU-BCMD is the first dataset in Saudi Arabia that deals with a large number of mammogram scans. The dataset was collected from the Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer at King Abdulaziz University. It contains 1416 cases. Each case has two views for both the right and left breasts, resulting in 5662 images based on the breast imaging reporting and data system. It also contains 205 ultrasound cases corresponding to a part of the mammogram cases, with 405 images as a total. The dataset was annotated and reviewed by three different radiologists. Our dataset is a promising dataset that contains different imaging modalities for breast cancer with different cancer grades for Saudi women.
format article
author Asmaa S. Alsolami
Wafaa Shalash
Wafaa Alsaggaf
Sawsan Ashoor
Haneen Refaat
Mohammed Elmogy
author_facet Asmaa S. Alsolami
Wafaa Shalash
Wafaa Alsaggaf
Sawsan Ashoor
Haneen Refaat
Mohammed Elmogy
author_sort Asmaa S. Alsolami
title King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
title_short King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
title_full King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
title_fullStr King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
title_full_unstemmed King Abdulaziz University Breast Cancer Mammogram Dataset (KAU-BCMD)
title_sort king abdulaziz university breast cancer mammogram dataset (kau-bcmd)
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/f27907db8aa743439b31186dda265ff9
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