Cargando…
Improved generalized ComBat methods for harmonization of radiomic features
Radiomic approaches in precision medicine are promising, but variation associated with image acquisition factors can result in severe biases and low generalizability. Multicenter datasets used in these studies are often heterogeneous in multiple imaging parameters and/or have missing information, re...
Autores principales: | Horng, Hannah, Singh, Apurva, Yousefi, Bardia, Cohen, Eric A., Haghighi, Babak, Katz, Sharyn, Noël, Peter B., Kontos, Despina, Shinohara, Russell T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643436/ https://www.ncbi.nlm.nih.gov/pubmed/36348002 http://dx.doi.org/10.1038/s41598-022-23328-0 |
Ejemplares similares
-
Generalized ComBat harmonization methods for radiomic features with multi-modal distributions and multiple batch effects
por: Horng, Hannah, et al.
Publicado: (2022) -
Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans
por: Singh, Apurva, et al.
Publicado: (2022) -
Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
por: Da-ano, R., et al.
Publicado: (2020) -
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data()
por: Beer, Joanne C., et al.
Publicado: (2020) -
The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
por: Ibrahim, Abdalla, et al.
Publicado: (2021)