Validation of a Point-of-Care Optical Coherence Tomography Device with Machine Learning Algorithm for Detection of Oral Potentially Malignant and Malignant Lesions

SIMPLE SUMMARY: Early detection is crucial towards improving survival in patients diagnosed with oral cancer. Non-invasive strategies equivalent to histology diagnosis are extremely valuable in oral cancer screening and early detection in resource-constrained settings. Optical coherence tomography (...

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Autores principales: James, Bonney Lee, Sunny, Sumsum P., Heidari, Andrew Emon, Ramanjinappa, Ravindra D., Lam, Tracie, Tran, Anne V., Kankanala, Sandeep, Sil, Shiladitya, Tiwari, Vidya, Patrick, Sanjana, Pillai, Vijay, Shetty, Vivek, Hedne, Naveen, Shah, Darshat, Shah, Nameeta, Chen, Zhong-ping, Kandasarma, Uma, Raghavan, Subhashini Attavar, Gurudath, Shubha, Nagaraj, Praveen Birur, Wilder-Smith, Petra, Suresh, Amritha, Kuriakose, Moni Abraham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8304149/
https://www.ncbi.nlm.nih.gov/pubmed/34298796
http://dx.doi.org/10.3390/cancers13143583

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