King Abdullah International Medical Research Center (KAIMRC)’s breast cancer big images data set

Ahmed Almazroa; Ghaida Bin Saleem; Aljoharah Alotaibi; Mudhi Almasloukh; Um Klthoum Alotaibi; Wejdan Al Balawi; Ghufran Alabdulmajeed; Suhailah Alamri; Barrak Alsomaie; Mohammed Fahim; Najd Alluhaydan

doi:10.1117/12.2612538

4 April 2022 King Abdullah International Medical Research Center (KAIMRC)’s breast cancer big images data set

Ahmed Almazroa, Ghaida Bin Saleem, Aljoharah Alotaibi, Mudhi Almasloukh, Um Klthoum Alotaibi, Wejdan Al Balawi, Ghufran Alabdulmajeed, Suhailah Alamri, Barrak Alsomaie, Mohammed Fahim, Najd Alluhaydan

Author Affiliations +

Proceedings Volume 12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications; 120370C (2022) https://doi.org/10.1117/12.2612538
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

The purpose of this project is to prepare image data set to develop AI systems to serve screening and diagnosis of breast cancer research field. Whereas early detection could have a positive impact on decreasing mortality, as this could offer more options for successful intervention and therapies to reduce the chance of malignant and metastatic progression. Six students, one research technologist, and one consultant in radiology collected the images and the patients’ information. The images extracted from three imaging modalities: the Hologic 3D Mammography, Philips and Super Sonic ultrasound Machines, and GE and Philips machines for MRI. The cases were graded by a trained radiologist. A total of 3085 DICOM format images have collected for the period between 2008 – 2020 for 890 females patients ages 18 to 85. The largest portion in the data is dedicated for mammograms (51.3%), and then ultrasound (31.7%), and MRI exams (17%). There were 593 malignant cases while the benign cases were 2492 cases. The diagnosis was confirmed by biopsy technique after mammogram and ultrasound exams. The data will be continually collected in the future to serve the artificial intelligence research field and the public health community. The updated information about the data will be available on: https://kaimrc.med.sa/?page_id=11767072

Conference Presentation

Citation Download Citation

Ahmed Almazroa, Ghaida Bin Saleem, Aljoharah Alotaibi, Mudhi Almasloukh, Um Klthoum Alotaibi, Wejdan Al Balawi, Ghufran Alabdulmajeed, Suhailah Alamri, Barrak Alsomaie, Mohammed Fahim, and Najd Alluhaydan "King Abdullah International Medical Research Center (KAIMRC)’s breast cancer big images data set", Proc. SPIE 12037, Medical Imaging 2022: Imaging Informatics for Healthcare, Research, and Applications, 120370C (4 April 2022); https://doi.org/10.1117/12.2612538

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