Simplifying Oral Cancer Diagnosis: Leveraging Low-Cost Microscopy, Support Vector Machine, and Logistic Regression Algorithms
DOI:
10.1364/fio.2023.fm1e.5
Publication Date:
2023-12-11T19:28:30Z
AUTHORS (3)
ABSTRACT
This study centered on the construction of a low-cost microscope using smartphone camera, employed to diagnosing oral cancer dried saliva, that could correctly diagnose 77% samples conventional did.
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