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Validation of the Mirai model for predicting breast cancer risk in Mexican women

Abstract Objectives To validate the performance of Mirai, a mammography-based deep learning model, in predicting breast cancer risk over a 1–5-year period in Mexican women. Methods This retrospective single-center study included mammograms in Mexican women who underwent screening mammography between...

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Principais autores: Daly Avendano, Maria Adele Marino, Beatriz A. Bosques-Palomo, Yesika Dávila-Zablah, Pedro Zapata, Pablo J. Avalos-Montes, Cecilio Armengol-García, Carmelo Sofia, Margarita Garza-Montemayor, Katja Pinker, Servando Cardona-Huerta, José Tamez-Peña
פורמט: Artigo
שפה:Inglês
יצא לאור: SpringerOpen 2024-10-01
סדרה:Insights into Imaging
נושאים:
Breast neoplasms
Risk assessment
Artificial intelligence
Early detection of cancer
Mammography
גישה מקוונת:https://doi.org/10.1186/s13244-024-01808-3
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