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

A. Jochems, R. T. H. Leijenaar, M. Bogowicz, F. J. P. Hoebers, F. Wesseling, S. H. Huang, B. Chan, J. N. Waldron, B. O'Sullivan, D. Rietveld, C. R. Leemans, O. Riesterer, S. Tanadini-Lang, M. Guckenberger, K. Ikenberg, P. Lambin

Research output: Contribution to journalMeeting AbstractAcademic

Original languageEnglish
Pages (from-to)S504-S505
JournalRadiotherapy and Oncology
Volume127
Publication statusPublished - Apr 2018

Cite this

Jochems, A., Leijenaar, R. T. H., Bogowicz, M., Hoebers, F. J. P., Wesseling, F., Huang, S. H., ... Lambin, P. (2018). Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma. Radiotherapy and Oncology, 127, S504-S505.