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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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Detalhes bibliográficos
Publicado no:Cancers (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8304149/
https://ncbi.nlm.nih.gov/pubmed/34298796
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers13143583
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