Predicting short- to long-term breast cancer risk from longitudinal mammographic screening history

Abstract Breast cancer (BC) risk assessment aims to enhance individualized screening and prevention strategies. While recent deep learning (DL) models based on mammography have shown promise in short-term risk prediction, they primarily rely on single-time-point (STP) exams, ignoring temporal change...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Xin Wang, Tao Tan, Yuan Gao, Ruisheng Su, Jonas Teuwen, Jaap Kroes, Tianyu Zhang, Anna D’Angelo, Luyi Han, Caroline A. Drukker, Marjanka K. Schmidt, Regina Beets-Tan, Nico Karssemeijer, Ritse Mann
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Nature Portfolio 2025-10-01
סדרה:	npj Breast Cancer
גישה מקוונת:	https://doi.org/10.1038/s41523-025-00831-x
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!