Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer

Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer

The current guidelines recommend the sentinel lymph node biopsy to evaluate the lymph node involvement for breast cancer patients with clinically negative lymph nodes on clinical or radiological examination. Machine learning (ML) models have significantly improved the prediction of lymph nodes statu...

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Bibliographic Details
Main Authors: Angela Lombardi, Nicola Amoroso, Loredana Bellantuono, Samantha Bove, Maria Colomba Comes, Annarita Fanizzi, Daniele La Forgia, Vito Lorusso, Alfonso Monaco, Sabina Tangaro, Francesco Alfredo Zito, Roberto Bellotti, Raffaella Massafra
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
sentinel lymph node
imbalanced dataset
data augmentation
breast cancer
machine learning
interpretability
Online Access:https://www.mdpi.com/2076-3417/12/14/7227

Internet

https://www.mdpi.com/2076-3417/12/14/7227

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