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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Detaylı Bibliyografya
Yayımlandı:Comput Biol Med
Asıl Yazarlar: Rundo, Leonardo, Beer, Lucian, Ursprung, Stephan, Martin-Gonzalez, Paula, Markowetz, Florian, Brenton, James D., Crispin-Ortuzar, Mireia, Sala, Evis, Woitek, Ramona
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7248575/
https://ncbi.nlm.nih.gov/pubmed/32421652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2020.103751
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