Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

Radiogenomics investigates the relationship between imaging phenotypes and genetic expression. Breast cancer is a heterogeneous disease that manifests complex genetic changes and various prognosis and treatment response. We investigate the value of machine learning approaches to radiogenomics using...

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Detalles Bibliográficos
Autores principales: Park, Eun Kyung, Lee, Kwang-sig, Seo, Bo Kyoung, Cho, Kyu Ran, Woo, Ok Hee, Son, Gil Soo, Lee, Hye Yoon, Chang, Young Woo
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/PMC6882909/
https://www.ncbi.nlm.nih.gov/pubmed/31780739
http://dx.doi.org/10.1038/s41598-019-54371-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882909/
https://www.ncbi.nlm.nih.gov/pubmed/31780739
http://dx.doi.org/10.1038/s41598-019-54371-z

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