Deep learning model for the diagnosis of breast cancers smaller than 1 cm with ultrasonography: integration of ultrasonography and clinical factors

BACKGROUND: The aim of this study was to evaluate the diagnostic performance of a deep learning (DL) algorithm for breast masses smaller than 1 cm on ultrasonography (US). We also evaluated a hybrid model that combines the predictions of the DL algorithm from US images and a patient’s clinical facto...

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Detalles Bibliográficos
Autores principales: Bong, Jae Hwan, Kim, Tae Hee, Jeong, Seongkyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102775/
https://www.ncbi.nlm.nih.gov/pubmed/37064369
http://dx.doi.org/10.21037/qims-22-880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102775/
https://www.ncbi.nlm.nih.gov/pubmed/37064369
http://dx.doi.org/10.21037/qims-22-880

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