Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes

PURPOSE: The aim of this study is to improve the accuracy of classifying luminal or non-luminal subtypes of breast cancer by using computer algorithms based on DCE-MRI, and to validate the diagnostic efficacy of the model by considering the patient’s age of menarche and nodule size. METHODS: DCE-MRI...

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Detalles Bibliográficos
Autores principales: Sun, Liang, Tian, Haowen, Ge, Hongwei, Tian, Juan, Lin, Yuxin, Liang, Chang, Liu, Tang, Zhao, Yiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028183/
https://www.ncbi.nlm.nih.gov/pubmed/36959806
http://dx.doi.org/10.3389/fonc.2023.1107850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028183/
https://www.ncbi.nlm.nih.gov/pubmed/36959806
http://dx.doi.org/10.3389/fonc.2023.1107850

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