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...

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Detalles Bibliográficos
Autores principales: Rahman, Tabassum Yesmin, Mahanta, Lipi B., Choudhury, Hiten, Das, Anup K., Sarma, Jagannath D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941561/
https://www.ncbi.nlm.nih.gov/pubmed/33026718
http://dx.doi.org/10.1002/cnr2.1293

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941561/
https://www.ncbi.nlm.nih.gov/pubmed/33026718
http://dx.doi.org/10.1002/cnr2.1293

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