Field validation of deep learning based Point-of-Care device for early detection of oral malignant a...
Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders
About this item
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Author / Creator
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 and Kuriakose, Moni A.
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 of suspicious oral lesions (malignant/potentially...
Alternative Titles
Full title
Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders
Authors, Artists and Contributors
Author / Creator
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.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_eb74f82e6fba4b6a8b7a4621651c0322
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eb74f82e6fba4b6a8b7a4621651c0322
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-18249-x
