Tissue-specific and interpretable sub-segmentation of whole tumour burden on CT images by unsupervised fuzzy clustering

BACKGROUND: Cancer typically exhibits genotypic and phenotypic heterogeneity, which can have prognostic significance and influence therapy response. Computed Tomography (CT)-based radiomic approaches calculate quantitative features of tumour heterogeneity at a mesoscopic level, regardless of macrosc...

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Detalles Bibliográficos
Autores principales: Rundo, Leonardo, Beer, Lucian, Ursprung, Stephan, Martin-Gonzalez, Paula, Markowetz, Florian, Brenton, James D., Crispin-Ortuzar, Mireia, Sala, Evis, Woitek, Ramona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248575/
https://www.ncbi.nlm.nih.gov/pubmed/32421652
http://dx.doi.org/10.1016/j.compbiomed.2020.103751

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248575/
https://www.ncbi.nlm.nih.gov/pubmed/32421652
http://dx.doi.org/10.1016/j.compbiomed.2020.103751

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