Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification

Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification

In head and neck squamous cell carcinoma (HNSCC) pathologic cervical lymph nodes (LN) remain important negative predictors. Current criteria for LN-classification in contrast-enhanced computed-tomography scans (contrast-CT) are shape-based; contrast-CT imagery allows extraction of additional quantit...

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Bibliographic Details
Main Authors: Zoltan R. Bardosi, Daniel Dejaco, Matthias Santer, Marcel Kloppenburg, Stephanie Mangesius, Gerlig Widmann, Ute Ganswindt, Gerhard Rumpold, Herbert Riechelmann, Wolfgang Freysinger
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Cancers
Subjects:
head and neck squamous carcinoma
lymph nodes
extracapsular spread
computed-tomography
radiomics
feature extraction
Online Access:https://www.mdpi.com/2072-6694/14/3/477

Internet

https://www.mdpi.com/2072-6694/14/3/477

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