Publication: A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer
A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer
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La Greca Saint-Esteven, A., Bogowicz, M., Konukoglu, E., Riesterer, O., Balermpas, P., Guckenberger, M., Tanadini-Lang, S., & van Timmeren, J. E. (2022). A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Computers in Biology and Medicine, 142, 105215. https://doi.org/10.1016/j.compbiomed.2022.105215
Abstract
Abstract
Abstract
ackground
Infection with human papilloma virus (HPV) is one of the most relevant prognostic factors in advanced oropharyngeal cancer (OPC) treatment. In this study we aimed to assess the diagnostic accuracy of a deep learning-based method for HPV status prediction in computed tomography (CT) images of advanced OPC. Method
An internal dataset and three public collections were employed (internal: n = 151, HNC1: n = 451; HNC2: n = 80; HNC3: n = 110). Internal and HNC1 datasets were used for training, whereas HNC2 and HNC3 collections w
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Creators (Authors)
- La Greca Saint-Esteven, Agustina
- Bogowicz, Marta
- Konukoglu, Ender
- Riesterer, Oliver
- Balermpas, Panagiotis
- Guckenberger, Matthias
- Tanadini-Lang, Stephanie
- van Timmeren, Janita E
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Citations
La Greca Saint-Esteven, A., Bogowicz, M., Konukoglu, E., Riesterer, O., Balermpas, P., Guckenberger, M., Tanadini-Lang, S., & van Timmeren, J. E. (2022). A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. Computers in Biology and Medicine, 142, 105215. https://doi.org/10.1016/j.compbiomed.2022.105215
