Machine learning concepts applied to oral pathology and oral medicine: A convolutional neural networks' approach

Introduction Artificial intelligence models and networks can learn and process dense information in a short time, leading to an efficient, objective, and accurate clinical and histopathological analysis, which can be useful to improve treatment modalities and prognostic outcomes. This paper targets...

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Veröffentlicht in:Journal of oral pathology & medicine 2023-02, Vol.52 (2), p.109-118
Hauptverfasser: Araújo, Anna Luíza Damaceno, Silva, Viviane Mariano, Kudo, Maíra Suzuka, Souza, Eduardo Santos Carlos, Saldivia‐Siracusa, Cristina, Giraldo‐Roldán, Daniela, Lopes, Marcio Ajudarte, Vargas, Pablo Agustin, Khurram, Syed Ali, Pearson, Alexander T., Kowalski, Luiz Paulo, Carvalho, André Carlos Ponce de Leon Ferreira, Santos‐Silva, Alan Roger, Moraes, Matheus Cardoso
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Sprache:eng
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