Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment

Applying Explainable Machine Learning Models for Detection of Breast Cancer Lymph Node Metastasis in Patients Eligible for Neoadjuvant Treatment

Background: Due to recent changes in breast cancer treatment strategy, significantly more patients are treated with neoadjuvant systemic therapy (NST). Radiological methods do not precisely determine axillary lymph node status, with up to 30% of patients being misdiagnosed. Hence, supplementary meth...

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Bibliographic Details
Main Authors: Josip Vrdoljak, Zvonimir Boban, Domjan Barić, Darko Šegvić, Marko Kumrić, Manuela Avirović, Melita Perić Balja, Marija Milković Periša, Čedna Tomasović, Snježana Tomić, Eduard Vrdoljak, Joško Božić
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Cancers
Subjects:
machine learning
breast cancer
neoadjuvant systemic treatment
lymph node metastasis
Online Access:https://www.mdpi.com/2072-6694/15/3/634

Internet

https://www.mdpi.com/2072-6694/15/3/634

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