Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering

Purpose: The goal of this study is to develop innovative methods for identifying radiomic features that are reproducible over varying image acquisition settings. Approach: We propose a regularized partial correlation network to identify reliable and reproducible radiomic features. This approach was...

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Detalles Bibliográficos
Autores principales: Oh, Jung Hun, Apte, Aditya P., Katsoulakis, Evangelia, Riaz, Nadeem, Hatzoglou, Vaios, Yu, Yao, Mahmood, Usman, Veeraraghavan, Harini, Pouryahya, Maryam, Iyer, Aditi, Shukla-Dave, Amita, Tannenbaum, Allen, Lee, Nancy Y., Deasy, Joseph O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Special Section on Radiogenomics in Prognosis and Treatment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085581/
https://www.ncbi.nlm.nih.gov/pubmed/33954225
http://dx.doi.org/10.1117/1.JMI.8.3.031904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085581/
https://www.ncbi.nlm.nih.gov/pubmed/33954225
http://dx.doi.org/10.1117/1.JMI.8.3.031904

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