The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: A comparative appraisal.

Anna Luíza Damaceno Araújo, Viviane Mariano da Silva,Matheus Cardoso Moraes,Henrique Alves de Amorim,Felipe Paiva Fonseca,Maria Sissa Pereira Sant'Ana,Ricardo Alves Mesquita,Bruno Augusto Linhares Almeida Mariz,Hélder Antônio Rebelo Pontes,Lucas Lacerda de Souza,Cristina Saldivia-Siracusa,Syed Ali Khurram,Alexander T Pearson,Manoela Domingues Martins,Marcio Ajudarte Lopes,Pablo Agustin Vargas,Luiz Paulo Kowalski,Alan Roger Santos-Silva

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology（2023）

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摘要

The models were not able to generalize enough to be applied in real-life datasets due to an overlapping of features between the two classes (i.e., high risk and low risk of malignization).

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oral epithelial dysplasia,deep learning

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