King Abdulaziz University Breast Cancer Mammogram Dataset
the first digitalized mammogram dataset for breast cancer in Saudi Arabia, depend on the BI-RADS categories, to solve the availability problem of local public datasets by collecting, categorizing, and annotating mammogram images, supporting the medical field by providing physicians with different di...
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creator | Alsolami, Asmaa Alsolami Shalash, Dr.Wafaa Shalash Alsaggaf, Dr.Wafaa Alsaggaf Ashoor, Dr. Sawsan Ashoor Refaat, Haneen Refaat Elmogy, Dr.Mohammed Elmogy |
description | the first digitalized mammogram dataset for breast cancer in Saudi Arabia, depend on the BI-RADS categories, to solve the availability problem of local public datasets by collecting, categorizing, and annotating mammogram images, supporting the medical field by providing physicians with different diagnosed cases especially in Saudi ArabiaThe dataset was collected from Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer at King Abdulaziz University in Jeddah, Saudi Arabia, from April 2019 to March 2020 and the annotated was between April and June 2020. The dataset contains 1521 cases; all cases include images with two types of views (CC and MLO) for both breasts (right and left), making a total of 6109 mammogram images. The dataset was classified into 0 to 5 categories in accordance with BI-RADS . |
doi_str_mv | 10.21227/a4cs-ax02 |
format | Dataset |
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The dataset contains 1521 cases; all cases include images with two types of views (CC and MLO) for both breasts (right and left), making a total of 6109 mammogram images. 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The dataset contains 1521 cases; all cases include images with two types of views (CC and MLO) for both breasts (right and left), making a total of 6109 mammogram images. The dataset was classified into 0 to 5 categories in accordance with BI-RADS .</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2024</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBAyNNAzMjQyMtdPNEku1k2sMDDiZLD0zsxLV3BMSinNSazKrFIIzcssSy0qziypVHAqSk0sLlFwTsxLTi1S8E3Mzc1PL0rMVXBJLEksTi3hYWBNS8wpTuWF0twMWm6uIc4euilA-eTMktT4gqLM3MSiynhDg3iwvfEge-NB9hqTpBgAGZ86ow</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Alsolami, Asmaa Alsolami</creator><creator>Shalash, Dr.Wafaa Shalash</creator><creator>Alsaggaf, Dr.Wafaa Alsaggaf</creator><creator>Ashoor, Dr. Sawsan Ashoor</creator><creator>Refaat, Haneen Refaat</creator><creator>Elmogy, Dr.Mohammed Elmogy</creator><general>IEEE DataPort</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2024</creationdate><title>King Abdulaziz University Breast Cancer Mammogram Dataset</title><author>Alsolami, Asmaa Alsolami ; Shalash, Dr.Wafaa Shalash ; Alsaggaf, Dr.Wafaa Alsaggaf ; Ashoor, Dr. Sawsan Ashoor ; Refaat, Haneen Refaat ; Elmogy, Dr.Mohammed Elmogy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_21227_a4cs_ax023</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2024</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Alsolami, Asmaa Alsolami</creatorcontrib><creatorcontrib>Shalash, Dr.Wafaa Shalash</creatorcontrib><creatorcontrib>Alsaggaf, Dr.Wafaa Alsaggaf</creatorcontrib><creatorcontrib>Ashoor, Dr. Sawsan Ashoor</creatorcontrib><creatorcontrib>Refaat, Haneen Refaat</creatorcontrib><creatorcontrib>Elmogy, Dr.Mohammed Elmogy</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Alsolami, Asmaa Alsolami</au><au>Shalash, Dr.Wafaa Shalash</au><au>Alsaggaf, Dr.Wafaa Alsaggaf</au><au>Ashoor, Dr. Sawsan Ashoor</au><au>Refaat, Haneen Refaat</au><au>Elmogy, Dr.Mohammed Elmogy</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>King Abdulaziz University Breast Cancer Mammogram Dataset</title><date>2024</date><risdate>2024</risdate><abstract>the first digitalized mammogram dataset for breast cancer in Saudi Arabia, depend on the BI-RADS categories, to solve the availability problem of local public datasets by collecting, categorizing, and annotating mammogram images, supporting the medical field by providing physicians with different diagnosed cases especially in Saudi ArabiaThe dataset was collected from Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer at King Abdulaziz University in Jeddah, Saudi Arabia, from April 2019 to March 2020 and the annotated was between April and June 2020. The dataset contains 1521 cases; all cases include images with two types of views (CC and MLO) for both breasts (right and left), making a total of 6109 mammogram images. The dataset was classified into 0 to 5 categories in accordance with BI-RADS .</abstract><pub>IEEE DataPort</pub><doi>10.21227/a4cs-ax02</doi><oa>free_for_read</oa></addata></record> |
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identifier | DOI: 10.21227/a4cs-ax02 |
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title | King Abdulaziz University Breast Cancer Mammogram Dataset |
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