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Artigo de periodico
Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data (2025)
Araujo, Anna Luiza Damaceno ; Sperandio, Marcelo ; Calabrese, Giovanna; Faria, Sarah S; Cardona Cárdenas, Diego Armando ; Martins, Manoela Domingues ; Saldivia-Siracusa, Cristina ; Giraldo-Roldán, Daniela ; Pedroso, Caique Mariano ; Kowalski, Luiz Paulo
Source: Oral Surgery Oral Medicine Oral Pathology Oral Radiology. Unidade: FM
Subjects: INTELIGÊNCIA ARTIFICIAL, DIAGNÓSTICO, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Anna Luiza Damaceno et al. Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data. Oral Surgery Oral Medicine Oral Pathology Oral Radiology, v. 140, n. 1, p. 79-88, 2025Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/87002. Acesso em: 26 abr. 2026.
APA
Araujo, A. L. D., Sperandio, M., Calabrese, G., Faria, S. S., Cardona Cárdenas, D. A., Martins, M. D., et al. (2025). Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data. Oral Surgery Oral Medicine Oral Pathology Oral Radiology, 140( 1), 79-88. doi:10.1016/j.oooo.2025.01.004
NLM
Araujo ALD, Sperandio M, Calabrese G, Faria SS, Cardona Cárdenas DA, Martins MD, Saldivia-Siracusa C, Giraldo-Roldán D, Pedroso CM, Kowalski LP. Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data [Internet]. Oral Surgery Oral Medicine Oral Pathology Oral Radiology. 2025 ; 140( 1): 79-88.[citado 2026 abr. 26 ] Available from: https://observatorio.fm.usp.br/handle/OPI/87002
Vancouver
Araujo ALD, Sperandio M, Calabrese G, Faria SS, Cardona Cárdenas DA, Martins MD, Saldivia-Siracusa C, Giraldo-Roldán D, Pedroso CM, Kowalski LP. Artificial intelligence in healthcare applications targeting cancer diagnosis-part I: data structure, preprocessing and data [Internet]. Oral Surgery Oral Medicine Oral Pathology Oral Radiology. 2025 ; 140( 1): 79-88.[citado 2026 abr. 26 ] Available from: https://observatorio.fm.usp.br/handle/OPI/87002
Artigo de periodico
Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images (2024)
Santos, Giovanna Calabrese dos; Araujo, Anna Luiza Damaceno ; Amorim, Henrique Alves de; Giraldo-Roldán, Daniela ; Sousa-Neto, Sebastião Silvério de ; Vargas, Pablo Agustin; Kowalski, Luiz Paulo ; Santos-Silva, Alan Roger dos ; Lopes, Marcio Ajudarte; Moraes, Matheus Cardoso
Source: Journal of oral pathology & medicine. Unidade: FM
Subjects: NEOPLASIAS, REDES NEURAIS, APRENDIZAGEM PROFUNDA
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ABNT
SANTOS, Giovanna Calabrese dos et al. Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images. Journal of oral pathology & medicine, v. 53, n. 7, p. 444-450, 2024Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/79408. Acesso em: 26 abr. 2026.
APA
Santos, G. C. dos, Araujo, A. L. D., Amorim, H. A. de, Giraldo-Roldán, D., Sousa-Neto, S. S. de, Vargas, P. A., et al. (2024). Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images. Journal of oral pathology & medicine, 53( 7), 444-450. doi:10.1111/jop.13560
NLM
Santos GC dos, Araujo ALD, Amorim HA de, Giraldo-Roldán D, Sousa-Neto SS de, Vargas PA, Kowalski LP, Santos-Silva AR dos, Lopes MA, Moraes MC. Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images [Internet]. Journal of oral pathology & medicine. 2024 ; 53( 7): 444-450.[citado 2026 abr. 26 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79408
Vancouver
Santos GC dos, Araujo ALD, Amorim HA de, Giraldo-Roldán D, Sousa-Neto SS de, Vargas PA, Kowalski LP, Santos-Silva AR dos, Lopes MA, Moraes MC. Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images [Internet]. Journal of oral pathology & medicine. 2024 ; 53( 7): 444-450.[citado 2026 abr. 26 ] Available from: https://observatorio.fm.usp.br/handle/OPI/79408
Artigo de periodico
Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review (2024)
Giraldo-Roldán, Daniela ; Araujo, Anna Luiza Damaceno ; Moraes, Matheus Cardoso ; Silva, Viviane Mariano da ; Ribeiro, Erin Crespo Cordeiro ; Pinto, Matheus Henrique de Cerqueira ; Saldivia-Siracusa, Cristina ; Sousa-Neto, Sebastião Silvério de ; Perez-de-Oliveira, Maria Eduarda ; Lopes, Márcio Ajudarte ; Kowalski, Luiz Paulo ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos ; Vargas, Pablo Agustin
Source: Journal of Oral Pathology and Medicine. Unidades: FM, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, DIAGNÓSTICO POR COMPUTADOR, RADIOGRAFIA PANORÂMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GIRALDO-ROLDÁN, Daniela et al. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review. Journal of Oral Pathology and Medicine, v. 53, n. 7, p. 415-433, 2024Tradução . . Disponível em: https://doi.org/10.1111/jop.13548. Acesso em: 26 abr. 2026.
APA
Giraldo-Roldán, D., Araujo, A. L. D., Moraes, M. C., Silva, V. M. da, Ribeiro, E. C. C., Pinto, M. H. de C., et al. (2024). Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review. Journal of Oral Pathology and Medicine, 53( 7), 415-433. doi:10.1111/jop.13548
NLM
Giraldo-Roldán D, Araujo ALD, Moraes MC, Silva VM da, Ribeiro ECC, Pinto MH de C, Saldivia-Siracusa C, Sousa-Neto SS de, Perez-de-Oliveira ME, Lopes MA, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Vargas PA. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review [Internet]. Journal of Oral Pathology and Medicine. 2024 ; 53( 7): 415-433.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1111/jop.13548
Vancouver
Giraldo-Roldán D, Araujo ALD, Moraes MC, Silva VM da, Ribeiro ECC, Pinto MH de C, Saldivia-Siracusa C, Sousa-Neto SS de, Perez-de-Oliveira ME, Lopes MA, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Vargas PA. Artificial intelligence and radiomics in the diagnosis of intraosseous lesions of the gnathic bones: a systematic review [Internet]. Journal of Oral Pathology and Medicine. 2024 ; 53( 7): 415-433.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1111/jop.13548
Artigo de periodico
Deep learning applied to the histopathological diagnosis of ameloblastomas and ameloblastic carcinomas (2023)
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
Source: JOURNAL OF ORAL PATHOLOGY & MEDICINE. Unidade: FM
Subjects: APRENDIZAGEM PROFUNDA, AMELOBLASTO, AMELOBLASTOMA, INTELIGÊNCIA ARTIFICIAL, TUMORES ODONTOGÊNICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 26 abr. 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 abr. 26 ] 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 abr. 26 ] Available from: https://observatorio.fm.usp.br/handle/OPI/57802
Artigo de periodico
Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach (2023)
Araujo, Anna Luiza Damaceno ; Silva, Viviane Mariano da ; Kudo, Maíra Suzuka ; Souza, Eduardo Santos Carlos de; Saldivia-Siracusa, Cristina ; Giraldo-Roldán, Daniela ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Khurram, Syed Ali ; Pearson, Alexander T ; Kowalski, Luiz Paulo ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Santos-Silva, Alan Roger dos ; Moraes, Matheus Cardoso
Source: Journal of Oral Pathology and Medicine. Unidades: FM, ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, NEOPLASIAS BUCAIS, NEOPLASIAS DE CABEÇA E PESCOÇO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARAUJO, Anna Luiza Damaceno et al. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach. Journal of Oral Pathology and Medicine, v. 52, n. 2, p. 109-118, 2023Tradução . . Disponível em: https://doi.org/10.1111/jop.13397. Acesso em: 26 abr. 2026.
APA
Araujo, A. L. D., Silva, V. M. da, Kudo, M. S., Souza, E. S. C. de, Saldivia-Siracusa, C., Giraldo-Roldán, D., et al. (2023). Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach. Journal of Oral Pathology and Medicine, 52( 2), 109-118. doi:10.1111/jop.13397
NLM
Araujo ALD, Silva VM da, Kudo MS, Souza ESC de, Saldivia-Siracusa C, Giraldo-Roldán D, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Moraes MC. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach [Internet]. Journal of Oral Pathology and Medicine. 2023 ; 52( 2): 109-118.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1111/jop.13397
Vancouver
Araujo ALD, Silva VM da, Kudo MS, Souza ESC de, Saldivia-Siracusa C, Giraldo-Roldán D, Lopes MA, Vargas PA, Khurram SA, Pearson AT, Kowalski LP, Carvalho ACP de LF de, Santos-Silva AR dos, Moraes MC. Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach [Internet]. Journal of Oral Pathology and Medicine. 2023 ; 52( 2): 109-118.[citado 2026 abr. 26 ] Available from: https://doi.org/10.1111/jop.13397

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