Developing global image feature analysis models to predict cancer risk and prognosis

In order to develop precision or personalized medicine, identifying new quantitative imaging markers and building machine learning models to predict cancer risk and prognosis has been attracting broad research interest recently. Most of these research approaches use the similar concepts of the conve...

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Detalles Bibliográficos
Autores principales: Zheng, Bin, Qiu, Yuchen, Aghaei, Faranak, Mirniaharikandehei, Seyedehnafiseh, Heidari, Morteza, Danala, Gopichandh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055572/
https://www.ncbi.nlm.nih.gov/pubmed/32190407
http://dx.doi.org/10.1186/s42492-019-0026-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055572/
https://www.ncbi.nlm.nih.gov/pubmed/32190407
http://dx.doi.org/10.1186/s42492-019-0026-5

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