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Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders
Early detection of oral cancer in low-resource settings necessitates a Point-of-Care screening tool that empowers Frontline-Health-Workers (FHW). This study was conducted to validate the accuracy of Convolutional-Neural-Network (CNN) enabled m(mobile)-Health device deployed with FHWs for delineation...
Autores principales: | Birur N., Praveen, Song, Bofan, Sunny, Sumsum P., G., Keerthi, Mendonca, Pramila, Mukhia, Nirza, Li, Shaobai, Patrick, Sanjana, G., Shubha, A.R., Subhashini, Imchen, Tsusennaro, Leivon, Shirley T., Kolur, Trupti, Shetty, Vivek, R., Vidya Bhushan, Vaibhavi, Daksha, Rajeev, Surya, Pednekar, Sneha, Banik, Ankita Dutta, Ramesh, Rohan Michael, Pillai, Vijay, O.S., Kathryn, Smith, Petra Wilder, Sigamani, Alben, Suresh, Amritha, Liang, Rongguang, Kuriakose, Moni A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395355/ https://www.ncbi.nlm.nih.gov/pubmed/35995987 http://dx.doi.org/10.1038/s41598-022-18249-x |
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