The effect of preprocessing filters on predictive performance in radiomics

BACKGROUND: Radiomics is a noninvasive method using machine learning to support personalised medicine. Preprocessing filters such as wavelet and Laplacian-of-Gaussian filters are commonly used being thought to increase predictive performance. However, the use of preprocessing filters increases the n...

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Detalles Bibliográficos
Autor principal: Demircioğlu, Aydin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433552/
https://www.ncbi.nlm.nih.gov/pubmed/36045274
http://dx.doi.org/10.1186/s41747-022-00294-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433552/
https://www.ncbi.nlm.nih.gov/pubmed/36045274
http://dx.doi.org/10.1186/s41747-022-00294-w

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