CLASSIFICATION OF STANDARD ORAL CANCER USING TEXTURAL ANALYSIS AND HYBRID HOPFIELD NEURAL NETWORKS.
Oral cancer is a chief health issues in the United States and worldwide. The oral cancer cell detection and segmentation stages are greatly influenced by the intensity distribution, contrast, and clarity of the input phase contrast micrographs. The classification stage in turn is dependent on the se...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 2811 - 2820 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |