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

Asmaa S. Alsolami, Wafaa Shalash, Wafaa Alsaggaf, Sawsan Ashoor, Haneen Refaat and Mohammed Elmogy
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Asmaa S. Alsolami: Faculty Computers and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Wafaa Shalash: Faculty Computers and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Wafaa Alsaggaf: Faculty Computers and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Sawsan Ashoor: Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Haneen Refaat: Sheikh Mohammed Hussein Al-Amoudi Center of Excellence in Breast Cancer, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Mohammed Elmogy: Information Technology Department, Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt

Data, 2021, vol. 6, issue 11, 1-15

Abstract: 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.

Keywords: breast cancer mammogram dataset; ultrasound breast cancer scans; BI-RADS; clinical data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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