Incorporating Radiomics into Machine Learning Models to Predict Outcomes of Neuroblastoma.

Neuroblastoma is one of the most common pediatric cancers. This study used machine learning (ML) to predict the mortality and a few other investigated intermediate outcomes of neuroblastoma patients non-invasively from CT images. Performances of multiple ML algorithms over retrospective CT images of...

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Publicado en:	Journal of Digital Imaging Vol. 35; no. 3; pp. 605 - 613
Autores principales:	Liu, Gengbo, Poon, Mini, Zapala, Matthew A., Temple, William C., Vo, Kieuhoa T., Matthay, Kathrine K., Mitra, Debasis, Seo, Youngho
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2022
Acceso en línea:	Ver este registro en EBSCOhost