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Construction Of an Oral Cancer Auto-Classify system Based On Machine-Learning for Artificial Intelligence
9th International Conference on Computer Science, Engineering and Applications (CCSEA 2019)
Oral cancer is one of the most widespread tumors of the head and neck region. An earlier diagnosis can help dentist getting a better therapy plan, giving patients a better treatment and the reliable techniques for detecting oral cancer cells are urgently required. This study proposes an optic and automation method using reflection images obtained with scanned laser pico-projection system, and Gray-Level Co-occurrence Matrix for sampling. Moreover, the artificial intelligence technology, Supportdoi:10.5121/csit.2019.90903 fatcat:fp3tlcxjizgsdbrigajs6ph55q