A machine learning model based on ultrasound image features to assess the risk of sentinel lymph node metastasis in breast cancer patients: Applications of scikit-learn and SHAP

BACKGROUND: This study aimed to determine an optimal machine learning (ML) model for evaluating the preoperative diagnostic value of ultrasound signs of breast cancer lesions for sentinel lymph node (SLN) status. METHOD: This study retrospectively analyzed the ultrasound images and postoperative pat...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Gaosen, Shi, Yan, Yin, Peipei, Liu, Feifei, Fang, Yi, Li, Xiang, Zhang, Qingyu, Zhang, Zhen
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/PMC9359803/
https://www.ncbi.nlm.nih.gov/pubmed/35957890
http://dx.doi.org/10.3389/fonc.2022.944569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359803/
https://www.ncbi.nlm.nih.gov/pubmed/35957890
http://dx.doi.org/10.3389/fonc.2022.944569

Ejemplares similares