Predicting Leukoplakia and Oral Squamous Cell Carcinoma Using Interpretable Machine Learning: A Retrospective Analysis
<i>Purpose</i>: The purpose of this study is to assess the effectiveness of the best performing interpretable machine learning models in the diagnoses of leukoplakia and oral squamous cell carcinoma (OSCC). <i>Methods</i>: A total of 237 patient cases were analysed that inclu...
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| Main Authors: | , , , |
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| Format: | Book |
| Published: |
MDPI AG,
2024-09-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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