Simplifying Oral Cancer Diagnosis: Leveraging Low-Cost Microscopy, Support Vector Machine, and Logistic Regression Algorithms

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.