Cargando…
Machine Learning in the Detection of Oral Lesions With Clinical Intraoral Images
Introduction: Artificial intelligence in oncology has gained a lot of interest in recent years. Early detection of Oral squamous cell carcinoma (OSCC) is crucial for early management to attain a better prognosis and overall survival. Machine learning (ML) has also been used in oral cancer studies to...
Autores principales: | Y, Dinesh, Ramalingam, Karthikeyan, Ramani, Pratibha, Mohan Deepak, Ramya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519616/ https://www.ncbi.nlm.nih.gov/pubmed/37753028 http://dx.doi.org/10.7759/cureus.44018 |
Ejemplares similares
-
MicroRNA Profiling in Circulating Exosomes in Oral Squamous Cell Carcinoma: A Systematic Review
por: Y, Dinesh, et al.
Publicado: (2023) -
Utility of CD44/CD24 in the Outcome and Prognosis of Oral Squamous Cell Carcinoma: A Systematic Review
por: Poothakulath Krishnan, Reshma, et al.
Publicado: (2023) -
Role of Ceramide Synthase 1 in Oral Leukoplakia and Oral Squamous Cell Carcinoma: A Potential Linchpin for Tumorigenesis
por: Surendran, Sangamithra, et al.
Publicado: (2023) -
Quality of Life Assessment With European Organisation for Research and Treatment of Cancer Questionnaire (Head and Neck Module 43) and Its Clinicopathological Correlation Among Patients Treated for Oral Squamous Cell Carcinoma: An Exploratory Study
por: Ramalingam, Karthikeyan, et al.
Publicado: (2023) -
Evaluation of Serum Levels of Matrix MetalloProteinase-9 (MMP-9) in Oral Squamous Cell Carcinoma and Its Clinicopathological Correlation
por: Benitha, Georgia, et al.
Publicado: (2023)