Cargando…
Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients
BACKGROUND AND PURPOSE: Head and neck cancer (HNC) patients treated with radiotherapy often suffer from radiation-induced toxicities. Normal Tissue Complication Probability (NTCP) modeling can be used to determine the probability to develop these toxicities based on patient, tumor, treatment and dos...
Autores principales: | Spiero, I., Schuit, E., Wijers, O.B., Hoebers, F.J.P., Langendijk, J.A., Leeuwenberg, A.M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562149/ https://www.ncbi.nlm.nih.gov/pubmed/37822705 http://dx.doi.org/10.1016/j.ctro.2023.100677 |
Ejemplares similares
-
Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
por: Al-Azzam, Nosayba, et al.
Publicado: (2021) -
Generative Adversarial Training for Supervised and Semi-supervised Learning
por: Wang, Xianmin, et al.
Publicado: (2022) -
Semi-supervised learning /
Publicado: (2010) -
Supervised, semi-supervised and unsupervised inference of gene regulatory networks
por: Maetschke, Stefan R., et al.
Publicado: (2014) -
Semi-supervised and unsupervised machine learning: novel strategies
por: Albalate, Amparo, et al.
Publicado: (2011)