A machine learning based delta-radiomics process for early prediction of treatment response of pancreatic cancer

Changes of radiomic features over time in longitudinal images, delta radiomics, can potentially be used as a biomarker to predict treatment response. This study aims to develop a delta-radiomic process based on machine learning by (1) acquiring and registering longitudinal images, (2) segmenting and...

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Detalles Bibliográficos
Autores principales: Nasief, Haidy, Zheng, Cheng, Schott, Diane, Hall, William, Tsai, Susan, Erickson, Beth, Allen Li, X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778189/
https://www.ncbi.nlm.nih.gov/pubmed/31602401
http://dx.doi.org/10.1038/s41698-019-0096-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778189/
https://www.ncbi.nlm.nih.gov/pubmed/31602401
http://dx.doi.org/10.1038/s41698-019-0096-z

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