Deep learning was successfully applied and validated in two external cohorts to predict HPV status in CT images of advanced OPC, proving its potential as a support tool in cancer precision medicine.

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Saint‐Esteven et al. (Tue,) studied this question.

synapsesocial.com/papers/69dc731a98c6111533e530ff https://doi.org/https://doi.org/10.1016/j.compbiomed.2022.105215

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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

1Computed Tomography-Based Texture Analysis to Determine Human Papillomavirus Status of Oropharyngeal Squamous Cell Carcinoma2017 · 38 citations
2A Comprehensive Survey on Transfer Learning2020 · 6,218 citations
32015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)2015 · 3,742 citations
4A systematic review of ultrasound-guided FNA of lesions in the head and neck—focusing on operator, sample inadequacy and presence of on-spot cytology service2014 · 46 citations