Investigation of Machine and Deep Learning Techniques to Detect HPV Status.
Efstathia PetrouKonstantinos P ChatzipapasPanagiotis PapadimitroulasGustavo Andrade-MirandaParaskevi F KatsakioriNikolaos D PapathanasiouDimitris VisvikisGeorge C KagadisPublished in: Journal of personalized medicine (2024)
Our findings suggest that CT scans analyzed by DL models hold promise for non-invasive HPV detection in HNC. Radiomic features, while less accurate in this study, offer a complementary approach. Future research should explore larger datasets and investigate the potential of combining DL and radiomic techniques.
Keyphrases
- deep learning
- computed tomography
- high grade
- contrast enhanced
- dual energy
- artificial intelligence
- convolutional neural network
- machine learning
- image quality
- high resolution
- current status
- magnetic resonance imaging
- label free
- magnetic resonance
- loop mediated isothermal amplification
- rna seq
- human health
- real time pcr
- quantum dots
- neural network