Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study (2025)
- Authors:
- Saldivia-Siracusa, Cristina

- Souza, Eduardo Santos Carlos de

- Silva, Arnaldo Vitor Barros da

- Araujo, Anna Luiza Damaceno

- Pedroso, Caique Mariano

- Silva, Tarcília Aparecida

- Sant'Ana, Maria Sissa Pereira

- Fonseca, Felipe Paiva
- Pontes, Helder Antônio Rebelo

- Quiles, Marcos Gonçalves

- Lopes, Márcio Ajudarte

- Vargas, Pablo Agustin

- Khurram, Syed Ali

- Pearson, Alexander T

- Lingen, Mark W
- Kowalski, Luiz Paulo

- Hunter, Keith D
- Carvalho, André Carlos Ponce de Leon Ferreira de

- Santos-Silva, Alan Roger dos

- Saldivia-Siracusa, Cristina
- USP affiliated authors: KOWALSKI, LUIZ PAULO - FM ; CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SOUZA, EDUARDO SANTOS CARLOS DE - ICMC ; ARAÚJO, ANNA LUÍZA DAMACENO - FM
- Unidades: FM; ICMC
- DOI: 10.1016/j.lana.2025.101138
- Subjects: APRENDIZAGEM PROFUNDA; REDES NEURAIS; RECONHECIMENTO DE IMAGEM; NEOPLASIAS BUCAIS; NEOPLASIAS DE CABEÇA E PESCOÇO
- Keywords: Artificial intelligence; Deep learning; Artificial neural network; Oral cancer; Head and neck cancer; Precancerous conditions
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lancet Regional Health, Americas
- ISSN: 2667-193X
- Volume/Número/Paginação/Ano: v. 47, p. 1-13, Jul. 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SALDIVIA-SIRACUSA, Cristina et al. Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study. Lancet Regional Health, Americas, v. 47, p. 1-13, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.lana.2025.101138. Acesso em: 27 fev. 2026. -
APA
Saldivia-Siracusa, C., Souza, E. S. C. de, Silva, A. V. B. da, Araujo, A. L. D., Pedroso, C. M., Silva, T. A., et al. (2025). Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study. Lancet Regional Health, Americas, 47, 1-13. doi:10.1016/j.lana.2025.101138 -
NLM
Saldivia-Siracusa C, Souza ESC de, Silva AVB da, Araujo ALD, Pedroso CM, Silva TA, Sant'Ana MSP, Fonseca FP, Pontes HAR, Quiles MG, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Lingen MW, Kowalski LP, Hunter KD, Carvalho ACP de LF de, Santos-Silva AR dos. Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study [Internet]. Lancet Regional Health, Americas. 2025 ; 47 1-13.[citado 2026 fev. 27 ] Available from: https://doi.org/10.1016/j.lana.2025.101138 -
Vancouver
Saldivia-Siracusa C, Souza ESC de, Silva AVB da, Araujo ALD, Pedroso CM, Silva TA, Sant'Ana MSP, Fonseca FP, Pontes HAR, Quiles MG, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Lingen MW, Kowalski LP, Hunter KD, Carvalho ACP de LF de, Santos-Silva AR dos. Automated classification of oral potentially malignant disorders and oral squamous cell carcinoma using a convolutional neural network framework: a cross-sectional study [Internet]. Lancet Regional Health, Americas. 2025 ; 47 1-13.[citado 2026 fev. 27 ] Available from: https://doi.org/10.1016/j.lana.2025.101138 - Convnext for the classification of oral potentially malignant disorders and squamous cell carcinoma
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- Machine learning for the prediction of toxicities from head and neck cancer treatment: A systematic review with meta-analysis
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- Segmentation of oral lesions through convolutional neural networks
Informações sobre o DOI: 10.1016/j.lana.2025.101138 (Fonte: oaDOI API)
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