Artificial Intelligence for Image Analysis in Oral Squamous Cell Carcinoma: A Review

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 Authors: Vanesa Pereira-Prado, Felipe Martins-Silveira, Estafanía Sicco, Jimena Hochmann, Mario Alberto Isiordia-Espinoza, Rogelio González González, Deepak Pandiar, Ronell Bologna-Molina
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Diagnostics
Subjects:
artificial intelligence
deep learning
digital image
histopathological analysis
machine learning
oral squamous cell carcinoma
Online Access:https://www.mdpi.com/2075-4418/13/14/2416

Internet

https://www.mdpi.com/2075-4418/13/14/2416

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