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 Arabia
The 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 .

Instructions:

There are actually six BI-RAD categories, but this dataset contains data of only four BI-RAD categories - Category 1, 3, 4, and 5. So this is a unbalanced dataset.

Comments

I making an app to detect mama cancer

Submitted by Roberto Carranza on Sat, 04/20/2024 - 16:03

breast cancer prediction

Submitted by Shaarika Kumar on Sat, 09/21/2024 - 01:07

Datasets

Standard Dataset

King Abdulaziz University Breast Cancer Mammogram Dataset

Abstract

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