Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach

The purpose of this study is to evaluate the accuracy for classification of hepatic tumors by characterization of T1-weighted magnetic resonance (MR) images using two radiomics approaches with machine learning models: texture analysis and topological data analysis using persistent homology. This stu...

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Detalles Bibliográficos
Autores principales: Oyama, Asuka, Hiraoka, Yasuaki, Obayashi, Ippei, Saikawa, Yusuke, Furui, Shigeru, Shiraishi, Kenshiro, Kumagai, Shinobu, Hayashi, Tatsuya, Kotoku, Jun’ichi
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/PMC6584736/
https://www.ncbi.nlm.nih.gov/pubmed/31217445
http://dx.doi.org/10.1038/s41598-019-45283-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584736/
https://www.ncbi.nlm.nih.gov/pubmed/31217445
http://dx.doi.org/10.1038/s41598-019-45283-z

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