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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy

Crossref DOI link: https://doi.org/10.1038/s41598-025-86400-5

Published Online: 2025-01-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ramani, Rishi S.

Tan, Ivy

Bussau, Lindsay

O’Reilly, Lorraine A.

Silke, John

Angel, Christopher

Celentano, Antonio

Whitehead, Lachlan

McCullough, Michael

Yap, Tami
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Text and Data Mining valid from 2025-01-20

Version of Record valid from 2025-01-20
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Article History

Received: 20 November 2024

Accepted: 10 January 2025

First Online: 20 January 2025

Declarations

:

: The Australian Government awarded funding through the Medical Research Future Fund to Optiscan Imaging Ltd and the University of Melbourne Dental School in collaborative clinical research to improve screening and early diagnosis of oral cancer. This project was funded in 2020 through the BioMedTech Horizons Program and administered by MTPConnect (T.Y. and M.Mc. are named researchers). L.B. is an employee and shareholder of Optiscan Imaging Ltd.

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