Cargando…
Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer
Purpose: To design and validate a preprocessing procedure dedicated to T2-weighted MR images of lung cancers so as to improve the ability of radiomic features to distinguish between adenocarcinoma and other histological types. Materials and Methods: A discovery set of 52 patients with advanced lung...
Autores principales: | Lacroix, Maxime, Frouin, Frédérique, Dirand, Anne-Sophie, Nioche, Christophe, Orlhac, Fanny, Bernaudin, Jean-François, Brillet, Pierre-Yves, Buvat, Irène |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006432/ https://www.ncbi.nlm.nih.gov/pubmed/32083003 http://dx.doi.org/10.3389/fonc.2020.00043 |
Ejemplares similares
-
Influence of age on radiomic features in (18)F-FDG PET in normal breast tissue and in breast cancer tumors
por: Boughdad, Sarah, et al.
Publicado: (2018) -
A downsampling strategy to assess the predictive value of radiomic features
por: Dirand, Anne-Sophie, et al.
Publicado: (2019) -
Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns
por: Escobar, Thibault, et al.
Publicado: (2022) -
Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
por: Orlhac, Fanny, et al.
Publicado: (2021) -
Prediction of cervical cancer recurrence using textural features extracted from (18)F-FDG PET images acquired with different scanners
por: Reuzé, Sylvain, et al.
Publicado: (2017)