Deep learning for predicting the human epidermal growth factor receptor 2 status of breast cancer liver metastases based on contrast-enhanced computed tomography: a development and validation study

BACKGROUND: This study investigated the value of a deep learning (DL) model based on computed tomography (CT) enhancement for predicting human epidermal growth factor receptor 2 (HER2) expression in patients with liver metastasis from breast cancer. METHODS: Data were collected for 151 female patien...

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Detalles Bibliográficos
Autores principales: Liu, Meng, Sui, Lian-Yu, Yin, Xiao-Ping, Wang, Jia-Ning, Li, Gen, Song, Jie, Ji, Qian
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/PMC10167468/
https://www.ncbi.nlm.nih.gov/pubmed/37179945
http://dx.doi.org/10.21037/qims-22-967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167468/
https://www.ncbi.nlm.nih.gov/pubmed/37179945
http://dx.doi.org/10.21037/qims-22-967

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