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Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few researches have been carried out for the automatic diagnosis of OSCC using artificial intelligence techniques. Though biopsy is the ultimate test for cancer diagnosis, analyzing a biopsy report is a v...
Gardado en:
| Publicado en: | Cancer Rep (Hoboken) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7941561/ https://ncbi.nlm.nih.gov/pubmed/33026718 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cnr2.1293 |
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