Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images.

Giovanna Calabrese Dos Santos Anna Luíza Damaceno Araújo Henrique Alves de Amorim Daniela Giraldo Roldán Sebastião Silvério de Sousa Neto Pablo Agustin Vargas Luiz Paulo Kowalski Alan Roger Dos Santos Silva Márcio Ajudarte Lopes Matheus Cardoso Moraes

Published in: Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology (2024)

This investigation demonstrated significant potential for proficient performance with a limitation regarding the perineurioma class (the limited feature variability observed contributed to a lower performance).

Keyphrases

deep learning
convolutional neural network
machine learning
optical coherence tomography