MammosighTR：用于人工智能应用的、带有BI-RADS注释的全国性乳腺癌筛查乳房X光数据集。

MammosighTR: Nationwide Breast Cancer Screening Mammogram Dataset with BI-RADS Annotations for Artificial Intelligence Applications.

作者信息

Koç Ural, Karakaş Emrah, Sezer Ebru Akçapınar, Beşler Muhammed Said, Özkaya Yaşar Alper, Evrimler Şehnaz, Yalçın Ahmet, Alper Kızıloğlu Hüseyin, Kesimal Uğur, Oruç Meltem, Çankaya İmran, Koç Keleş Duygu, Merd Neslihan, Özkan Erdem, Çevik Numan İlteriş, Gökhan Muhammet Batuhan, Hayat Büşra, Özer Mustafa, Tokur Oğuzhan, Işık Fatih, Tezcan Mehmet Alperen, Battal Muhammet Furkan, Yüzkat Mecit, Sebik Nihat Barış, Karademir Fatih, Topuz Yasemin, Sezer Özgür, Varlı Songül, Akdoğan Erhan, Ülgü Mustafa Mahir, Birinci Şuayip

机构信息

Department of Radiology, Ankara Bilkent City Hospital, Üniversiteler Mahallesi 1604, Cadde No: 9 Çankaya, Ankara 06800, Turkey

Ministry of Health, Ankara, Turkey

出版信息

Radiol Artif Intell. 2025 Aug 13:e240841. doi: 10.1148/ryai.240841.

DOI:10.1148/ryai.240841

PMID:40801802

Abstract

. 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.

摘要

MammosighTR数据集源自土耳其国家乳腺癌筛查乳腺X线摄影项目，提供带有乳腺成分和病变象限位置详细注释的BI-RADS标记乳腺X线照片，这可能有助于开发和测试乳腺癌检测中的人工智能模型。©RSNA，2025年。