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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...
Autores principales: | Zhang, Gaosen, Shi, Yan, Yin, Peipei, Liu, Feifei, Fang, Yi, Li, Xiang, Zhang, Qingyu, Zhang, Zhen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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