Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images

Radiomic analysis allows for the detection of imaging biomarkers supporting decision-making processes in clinical environments, from diagnosis to prognosis. Frequently, the original set of radiomic features is augmented by considering high-level features, such as wavelet transforms. However, several...

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Detalles Bibliográficos
Autores principales: Prinzi, Francesco, Militello, Carmelo, Conti, Vincenzo, Vitabile, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961017/
https://www.ncbi.nlm.nih.gov/pubmed/36826951
http://dx.doi.org/10.3390/jimaging9020032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961017/
https://www.ncbi.nlm.nih.gov/pubmed/36826951
http://dx.doi.org/10.3390/jimaging9020032

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