Developing a robust two-step machine learning multiclassification pipeline to predict primary site in head and neck carcinoma from lymph nodes

This study aimed to develop a robust multiclassification pipeline to determine the primary tumor location in patients with head and neck carcinoma of unknown primary using radiomics and machine learning techniques. The dataset included 400 head and neck cancer patients with primary tumor in orophary...

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Bibliographic Details
Main Authors: Jiaying Liu, Anna Corti, Giuseppina Calareso, Gaia Spadarella, Lisa Licitra, Valentina D.A. Corino, Luca Mainardi
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024004080