Exploring uncertainty measures in convolutional neural network for semantic segmentation of oral cancer images

SIGNIFICANCE: Oral cancer is one of the most prevalent cancers, especially in middle- and low-income countries such as India. Automatic segmentation of oral cancer images can improve the diagnostic workflow, which is a significant task in oral cancer image analysis. Despite the remarkable success of...

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Detalles Bibliográficos
Autores principales: Song, Bofan, Li, Shaobai, Sunny, Sumsum, Gurushanth, Keerthi, Mendonca, Pramila, Mukhia, Nirza, Patrick, Sanjana, Peterson, Tyler, Gurudath, Shubha, Raghavan, Subhashini, Tsusennaro, Imchen, Leivon, Shirley T., Kolur, Trupti, Shetty, Vivek, Bushan, Vidya, Ramesh, Rohan, Pillai, Vijay, Wilder-Smith, Petra, Suresh, Amritha, Kuriakose, Moni Abraham, Birur, Praveen, Liang, Rongguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
General
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630461/
https://www.ncbi.nlm.nih.gov/pubmed/36329004
http://dx.doi.org/10.1117/1.JBO.27.11.115001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630461/
https://www.ncbi.nlm.nih.gov/pubmed/36329004
http://dx.doi.org/10.1117/1.JBO.27.11.115001

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