Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas (2023)
- Authors:
- Giraldo-Roldán, Daniela

- Ribeiro, Erin Crespo Cordeiro

- Araujo, Anna Luiza Damaceno

- Penafort, Paulo Victor Mendes

- Silva, Viviane Mariano da

- Câmara, Jeconias

- Pontes, Helder Antônio Rebelo

- Martins, Manoela Domingues

- Oliveira, Márcio Campos

- Santos-Silva, Alan Roger dos

- Lopes, Márcio Ajudarte

- Kowalski, Luiz Paulo

- Moraes, Matheus Cardoso

- Vargas, Pablo Agustin

- Giraldo-Roldán, Daniela
- Autor USP: KOWALSKI, LUIZ PAULO - FM
- Unidade: FM
- DOI: 10.1111/jop.13481
- Subjects: APRENDIZAGEM PROFUNDA; AMELOBLASTO; AMELOBLASTOMA; INTELIGÊNCIA ARTIFICIAL; TUMORES ODONTOGÊNICOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: JOURNAL OF ORAL PATHOLOGY & MEDICINE
- ISSN: 0904-2512
- Volume/Número/Paginação/Ano: v. 52, n. 10, p. 988-995, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
GIRALDO-ROLDÁN, Daniela et al. Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas. JOURNAL OF ORAL PATHOLOGY & MEDICINE, v. 52, n. 10, p. 988-995, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/57802. Acesso em: 25 fev. 2026. -
APA
Giraldo-Roldán, D., Ribeiro, E. C. C., Araujo, A. L. D., Penafort, P. V. M., Silva, V. M. da, Câmara, J., et al. (2023). Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas. JOURNAL OF ORAL PATHOLOGY & MEDICINE, 52( 10), 988-995. doi:10.1111/jop.13481 -
NLM
Giraldo-Roldán D, Ribeiro ECC, Araujo ALD, Penafort PVM, Silva VM da, Câmara J, Pontes HAR, Martins MD, Oliveira MC, Santos-Silva AR dos, Lopes MA, Kowalski LP, Moraes MC, Vargas PA. Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas [Internet]. JOURNAL OF ORAL PATHOLOGY & MEDICINE. 2023 ; 52( 10): 988-995.[citado 2026 fev. 25 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57802 -
Vancouver
Giraldo-Roldán D, Ribeiro ECC, Araujo ALD, Penafort PVM, Silva VM da, Câmara J, Pontes HAR, Martins MD, Oliveira MC, Santos-Silva AR dos, Lopes MA, Kowalski LP, Moraes MC, Vargas PA. Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas [Internet]. JOURNAL OF ORAL PATHOLOGY & MEDICINE. 2023 ; 52( 10): 988-995.[citado 2026 fev. 25 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57802 - SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study
- Comparing Mohs micrographic surgery and wide local excision in the management of head and neck dermatofibrosarcoma protuberans: a scoping review
- Depth of invasion applied to oropharynx does not improve prognosis discrimination according to AJCC stage groups for oral cancer. [Carta]
- Histological characteristics of early-stage oral tongue cancer in young versus older patients: a multicenter matched-pair analysis
- Metastatic Squamous Cell Carcinoma to the Cervical Lymph Nodes From an Unknown Primary Cancer: Management in the HPV Era
- Recommendations for head and neck surgical oncology practice in a setting of acute severe resource constraint during the COVID-19 pandemic: an international consensus
- Robotic Head and Neck Surgery: Beyond TORS
- Immunotherapy improves efficacy and safety of patients with HPV positive and negative head and neck cancer: a systematic review and meta-analysis
- Clinicopathological study and survival outcomes of sialoblastoma: A systematic review
- Oral squamous cell carcinoma outcome in adolescent/young adult: systematic review and meta-analysis
Informações sobre o DOI: 10.1111/jop.13481 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
