Prediction of Histological Grade of Oral Squamous Cell Carcinoma Using Machine Learning Models Applied to <sup>18</sup>F-FDG-PET Radiomics
The histological grade of oral squamous cell carcinoma affects the prognosis. In the present study, we performed a radiomics analysis to extract features from <sup>18</sup>F-FDG PET image data, created machine learning models from the features, and verified the accuracy of the prediction...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-06-01
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| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/12/7/1411 |