MammosighTR: Nationwide Breast Cancer Screening Mammogram Dataset with BI-RADS Annotations for Artificial Intelligence Applications.
Authors
Koç U,Beşler MS,Sezer EA,Karakaş E,Özkaya YA,Evrimler Ş,Yalçın A,Kızıloğlu A,Kesimal U,Oruç M,Çankaya İ,Koç Keleş D,Merd N,Özkan E,Çevik Nİ,Gökhan MB,Boyraz Hayat B,Özer M,Tokur O,Işık F,Tezcan A,Battal F,Yüzkat M,Sebik NB,Karademir F,Topuz Y,Sezer Ö,Varlı S,Ülgü MM,Akdoğan E,Birinci Ş
Affiliations (16)
Affiliations (16)
- Department of Radiology, Kahramanmaraş Necip Fazıl City Hospital, Kahramanmaraş, Turkey.
- Department of Radiology, Ankara Bilkent City Hospital, Üniversiteler Mahallesi 1604, Cadde No: 9 Çankaya, Ankara 06800, Turkey.
- Artificial Intelligence Division, Department of Computer Engineering, Hacettepe University, Ankara, Turkey.
- Ministry of Health, Ankara, Turkey.
- Telemedicine and Teleradiology, Simplex IT, Inc, Ankara, Turkey.
- Department of Radiology, Ankara Etlik City Hospital, Ankara, Turkey.
- Department of Radiology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
- Department of Radiology, Faculty of Medicine, Gaziosmanpaşa University, Tokat, Turkey.
- Department of Radiology, Ankara Training and Research Hospital, Ankara, Turkey.
- Department of Radiology, Van Training and Research Hospital, Van, Turkey.
- Department of Radiology, Burdur State Hospital, Burdur, Turkey.
- Department of Radiology, Trabzon Kanuni Training and Research Hospital, Trabzon, Turkey.
- Department of Radiology, Malatya Battalgazi State Hospital, Malatya, Turkey.
- Health Institutes of Türkiye, İstanbul, Turkey.
- Department of Computer Engineering, Yıldız Technical University, İstanbul, Turkey.
- Department of Mechatronics Engineering, Faculty of Mechanical Engineering, Yıldız Technical University, İstanbul, Turkey.
Abstract
<i>"Just Accepted" papers have undergone full peer review and have been accepted for publication in <i>Radiology: Artificial Intelligence</i>. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content</i>. The MammosighTR dataset, derived from Türkiye's national breast cancer screening mammography program, provides BI-RADS-labeled mammograms with detailed annotations on breast composition and lesion quadrant location, which may be useful for developing and testing AI models in breast cancer detection. ©RSNA, 2025.
Topics
Journal Article