Classification of imbalanced oral cancer image data from high-risk population

Significance: Early detection of oral cancer is vital for high-risk patients, and machine learning-based automatic classification is ideal for disease screening. However, current datasets collected from high-risk populations are unbalanced and often have detrimental effects on the performance of cla...

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Detalles Bibliográficos
Autores principales: Song, Bofan, Li, Shaobai, Sunny, Sumsum, Gurushanth, Keerthi, Mendonca, Pramila, Mukhia, Nirza, Patrick, Sanjana, Gurudath, Shubha, Raghavan, Subhashini, Tsusennaro, Imchen, Leivon, Shirley T., Kolur, Trupti, Shetty, Vivek, Bushan, Vidya, Ramesh, Rohan, Peterson, Tyler, Pillai, Vijay, Wilder-Smith, Petra, Sigamani, Alben, Suresh, Amritha, Kuriakose, Moni Abraham, Birur, Praveen, Liang, Rongguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
General
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536945/
https://www.ncbi.nlm.nih.gov/pubmed/34689442
http://dx.doi.org/10.1117/1.JBO.26.10.105001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536945/
https://www.ncbi.nlm.nih.gov/pubmed/34689442
http://dx.doi.org/10.1117/1.JBO.26.10.105001

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