Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can be used as predictor of nodule malignancy and patient survival. To do this, w...

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Detalles Bibliográficos
Autores principales: Cherezov, Dmitry, Goldgof, Dmitry, Hall, Lawrence, Gillies, Robert, Schabath, Matthew, Müller, Henning, Depeursinge, Adrien
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/PMC6418269/
https://www.ncbi.nlm.nih.gov/pubmed/30872600
http://dx.doi.org/10.1038/s41598-019-38831-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418269/
https://www.ncbi.nlm.nih.gov/pubmed/30872600
http://dx.doi.org/10.1038/s41598-019-38831-0

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