Mobile-based oral cancer classification for point-of-care screening

Significance: Oral cancer is among the most common cancers globally, especially in low- and middle-income countries. Early detection is the most effective way to reduce the mortality rate. Deep learning-based cancer image classification models usually need to be hosted on a computing server. However...

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Detalles Bibliográficos
Autores principales: Song, Bofan, Sunny, Sumsum, Li, Shaobai, Gurushanth, Keerthi, Mendonca, Pramila, Mukhia, Nirza, Patrick, Sanjana, Gurudath, Shubha, Raghavan, Subhashini, Imchen, Tsusennaro, Leivon, Shirley T, Kolur, Trupti, Shetty, Vivek, Bushan, Vidya, Ramesh, Rohan, Lima, Natzem, Pillai, Vijay, Wilder-Smith, Petra, Sigamani, Alben, Suresh, Amritha, Kuriakose, Moni A., 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/PMC8220969/
https://www.ncbi.nlm.nih.gov/pubmed/34164967
http://dx.doi.org/10.1117/1.JBO.26.6.065003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220969/
https://www.ncbi.nlm.nih.gov/pubmed/34164967
http://dx.doi.org/10.1117/1.JBO.26.6.065003

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