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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:J Med Imaging (Bellingham)
Autori principali: 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.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Society of Photo-Optical Instrumentation Engineers 2021
Soggetti:
Special Section on Radiogenomics in Prognosis and Treatment
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC8085581/
https://ncbi.nlm.nih.gov/pubmed/33954225
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.8.3.031904
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi