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 wome |
