Dataset of breast ultrasound images

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three class...

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Autores principales: Al-Dhabyani, Walid, Gomaa, Mohammed, Khaled, Hussien, Fahmy, Aly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Medicine and Dentistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906728/
https://www.ncbi.nlm.nih.gov/pubmed/31867417
http://dx.doi.org/10.1016/j.dib.2019.104863
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author Al-Dhabyani, Walid
Gomaa, Mohammed
Khaled, Hussien
Fahmy, Aly
author_facet Al-Dhabyani, Walid
Gomaa, Mohammed
Khaled, Hussien
Fahmy, Aly
author_sort Al-Dhabyani, Walid
collection PubMed
description Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.
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spelling pubmed-69067282019-12-20 Dataset of breast ultrasound images Al-Dhabyani, Walid Gomaa, Mohammed Khaled, Hussien Fahmy, Aly Data Brief Medicine and Dentistry Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of early deaths. The data presented in this article reviews the medical images of breast cancer using ultrasound scan. Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning. Elsevier 2019-11-21 /pmc/articles/PMC6906728/ /pubmed/31867417 http://dx.doi.org/10.1016/j.dib.2019.104863 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Al-Dhabyani, Walid
Gomaa, Mohammed
Khaled, Hussien
Fahmy, Aly
Dataset of breast ultrasound images
title Dataset of breast ultrasound images
title_full Dataset of breast ultrasound images
title_fullStr Dataset of breast ultrasound images
title_full_unstemmed Dataset of breast ultrasound images
title_short Dataset of breast ultrasound images
title_sort dataset of breast ultrasound images
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906728/
https://www.ncbi.nlm.nih.gov/pubmed/31867417
http://dx.doi.org/10.1016/j.dib.2019.104863
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AT gomaamohammed datasetofbreastultrasoundimages
AT khaledhussien datasetofbreastultrasoundimages
AT fahmyaly datasetofbreastultrasoundimages

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