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

Dysplasia grading systems for oral epithelial dysplasia are a source of disagreement among pathologists. Therefore, machine learning approaches are being developed to mitigate this issue. This cross-sectional study included a cohort of 82 patients with oral potentially malignant disorders and corres...

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Veröffentlicht in:	Journal of oral pathology & medicine 2023-11, Vol.52 (10), p.980-987
Hauptverfasser:	Araújo, Anna Luíza Damaceno, Silva, Viviane Mariano da, Moraes, Matheus Cardoso, de Amorim, Henrique Alves, Fonseca, Felipe Paiva, Sant'Ana, Maria Sissa Pereira, Mesquita, Ricardo Alves, Mariz, Bruno Augusto Linhares Almeida, Pontes, Hélder Antônio Rebelo, de Souza, Lucas Lacerda, Saldivia-Siracusa, Cristina, Khurram, Syed Ali, Pearson, Alexander T, Martins, Manoela Domingues, Lopes, Marcio Ajudarte, Vargas, Pablo Agustin, Kowalski, Luiz Paulo, Santos-Silva, Alan Roger
Format:	Artikel
Sprache:	eng
Schlagworte:	Biopsy Cross-Sectional Studies Deep Learning Dysplasia Humans Machine Learning Neural networks Neural Networks, Computer
Online-Zugang:	Volltext
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