Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma

Autor: Jochems, A., Leijenaar, R. T. H., Bogowicz, M., Hoebers, F. J. P., Wesseling, F., Huang, S. H., Chan, B., Waldron, J. N., O'Sullivan, B., Rietveld, D., Leemans, C. R., Riesterer, O., Tanadini-Lang, S., Guckenberger, M., Ikenberg, K., Lambin, P.
Přispěvatelé: Radiation Oncology, CCA - Treatment and quality of life, Otolaryngology / Head & Neck Surgery, CCA - Cancer biology and immunology, CCA - Imaging and biomarkers
Jazyk: angličtina
Rok vydání: 2018
Zdroj: Radiotherapy and Oncology, 127, S504-S505. Elsevier Ireland Ltd
Jochems, A, Leijenaar, R T H, Bogowicz, M, Hoebers, F J P, Wesseling, F, Huang, S H, Chan, B, Waldron, J N, O'Sullivan, B, Rietveld, D, Leemans, C R, Riesterer, O, Tanadini-Lang, S, Guckenberger, M, Ikenberg, K & Lambin, P 2018, ' Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma ', Radiotherapy and Oncology, vol. 127, pp. S504-S505 .
ISSN: 0167-8140
Databáze: OpenAIRE
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