The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: a comparative appraisal (2023)
- Authors:
- Autor USP: KOWALSKI, LUIZ PAULO - FM
- Unidade: FM
- DOI: 10.1111/jop.13477
- Subjects: LEUCOPLASIA BUCAL; REDES NEURAIS; APRENDIZADO COMPUTACIONAL; INTELIGÊNCIA ARTIFICIAL
- Agências de fomento:
- The authors would like to gratefully acknowledge the financial support of the Coordination for the Improvement of Higher Education Personnel (CAPES/PROEX, Brazil), the National Council for Scientific and Technological Development (CNPq, Brazil), and the gr
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo
- Coordination for the Improvement of Higher Education Personnel
- Program for Institutional Internationalization
- National Council for Scientific and Technological Development
- Language: Inglês
- Imprenta:
- Source:
- Título: JOURNAL OF ORAL PATHOLOGY & MEDICINE
- ISSN: 0904-2512
- Volume/Número/Paginação/Ano: v. 52, n. 10, p. 980-987, 2023
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ARAUJO, Anna Luiza Damaceno et al. The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: a comparative appraisal. JOURNAL OF ORAL PATHOLOGY & MEDICINE, v. 52, n. 10, p. 980-987, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/57811. Acesso em: 16 abr. 2026. -
APA
Araujo, A. L. D., Silva, V. M. da, Moraes, M. C., Amorim, H. A. de, Fonseca, F. P., St'ana, M. S. P., et al. (2023). The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: a comparative appraisal. JOURNAL OF ORAL PATHOLOGY & MEDICINE, 52( 10), 980-987. doi:10.1111/jop.13477 -
NLM
Araujo ALD, Silva VM da, Moraes MC, Amorim HA de, Fonseca FP, St'ana MSP, Mesquita RA, Mariz BALA, Pontes HAR, Kowalski LP. The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: a comparative appraisal [Internet]. JOURNAL OF ORAL PATHOLOGY & MEDICINE. 2023 ; 52( 10): 980-987.[citado 2026 abr. 16 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57811 -
Vancouver
Araujo ALD, Silva VM da, Moraes MC, Amorim HA de, Fonseca FP, St'ana MSP, Mesquita RA, Mariz BALA, Pontes HAR, Kowalski LP. The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: a comparative appraisal [Internet]. JOURNAL OF ORAL PATHOLOGY & MEDICINE. 2023 ; 52( 10): 980-987.[citado 2026 abr. 16 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57811 - SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
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