Artificial intelligence for image analysis in oral squamous cell carcinoma: a review

Head and neck tumor differential diagnosis and prognosis have always been a challenge for oral pathologists due to their similarities and complexity. Artificial intelligence novel applications can function as an auxiliary tool for the objective interpretation of histomorphological digital slides. In...

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Bibliographic Details

Main Author:	Pereira-Prado, Vanesa (author)
Other Authors:	Silveira, Felipe Martins (author), Sicco, Estefanía (author), Hochmann Valls, Jimena (author), Isiordia-Espinoza, Mario Alberto (author), González González, Rogelio (author), Pandiar, Deepak (author), Bologna-Molina, Ronell (author)
Format:	article
Language:	English
Published:	2023
Subjects:	Artificial intelligence Deep learning Digital image Histopathological analysis Machine learning Oral squamous cell carcinoma
Online Access:	https://hdl.handle.net/20.500.12008/42878
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