Simplifying Oral Cancer Diagnosis: Leveraging Low-Cost Microscopy, Support Vector Machine, and Logistic Regression Algorithms
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Abstract
This study centered on the construction of a low-cost microscope using a smartphone camera, employed to diagnosing oral cancer using dried saliva, that could correctly diagnose 77% of the samples that a conventional microscope did.
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English
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Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023.
