Robustness of PET Radiomics Features: Impact of Co-Registration with MRI
Radiomics holds great promise in the field of cancer management. However, the clinical application of radiomics has been hampered by uncertainty about the robustness of the features extracted from the images. Previous studies have reported that radiomics features are sensitive to changes in voxel si...
Guardado en:
Autores principales: | Alessandro Stefano, Antonio Leal, Selene Richiusa, Phan Trang, Albert Comelli, Viviana Benfante, Sebastiano Cosentino, Maria G. Sabini, Antonino Tuttolomondo, Roberto Altieri, Francesco Certo, Giuseppe Maria Vincenzo Barbagallo, Massimo Ippolito, Giorgio Russo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6d61fbbbf8fe4a89b7c6e22effebaaec |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
SAP-Net: A Simple and Robust 3D Point Cloud Registration Network Based on Local Shape Features
por: Jinlong Li, et al.
Publicado: (2021) -
Incorporating Robustness to Imaging Physics into Radiomic Feature Selection for Breast Cancer Risk Estimation
por: Raymond J. Acciavatti, et al.
Publicado: (2021) -
Comparison of Conventional and Radiomic Features between <sup>18</sup>F-FBPA PET/CT and PET/MR
por: Chien-Yi Liao, et al.
Publicado: (2021) -
A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI
por: Samy Ammari, et al.
Publicado: (2021) -
Integrated CT Radiomics Features Could Enhance the Efficacy of 18F-FET PET for Non-Invasive Isocitrate Dehydrogenase Genotype Prediction in Adult Untreated Gliomas: A Retrospective Cohort Study
por: Weiyan Zhou, et al.
Publicado: (2021)