A nomogram based on radiomics signature and deep-learning signature for preoperative prediction of axillary lymph node metastasis in breast cancer

PURPOSE: To develop a nomogram based on radiomics signature and deep-learning signature for predicting the axillary lymph node (ALN) metastasis in breast cancer. METHODS: A total of 151 patients were assigned to a training cohort (n = 106) and a test cohort (n = 45) in this study. Radiomics features...

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Detalles Bibliográficos
Autores principales: Wang, Dawei, Hu, Yiqi, Zhan, Chenao, Zhang, Qi, Wu, Yiping, Ai, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633001/
https://www.ncbi.nlm.nih.gov/pubmed/36338691
http://dx.doi.org/10.3389/fonc.2022.940655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9633001/
https://www.ncbi.nlm.nih.gov/pubmed/36338691
http://dx.doi.org/10.3389/fonc.2022.940655

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