Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions (2023)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SOUZA, EDUARDO SANTOS CARLOS DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.oooo.2023.03.068
- Subjects: APRENDIZAGEM PROFUNDA; RECONHECIMENTO DE IMAGEM; NEOPLASIAS BUCAIS; NEOPLASIAS DE CABEÇA E PESCOÇO; TECNOLOGIAS DA SAÚDE
- Language: Inglês
- Imprenta:
- Source:
- Título: Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology
- ISSN: 2212-4403
- Volume/Número/Paginação/Ano: v. 136, n. 1, p. e31-e32, July 2023
- Conference titles: Brazilian Congress of Stomatology and Oral Pathology
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ARAUJO, Anna Luiza Damaceno et al. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. Disponível em: https://doi.org/10.1016/j.oooo.2023.03.068. Acesso em: 26 fev. 2026. , 2023 -
APA
Araujo, A. L. D., Souza, E. S. C. de, Faustino, I. S. P., Saldivia-Siracusa, C., Lopes, M. A., Carvalho, A. C. P. de L. F. de, & Santos-Silva, A. R. dos. (2023). Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. New York: Elsevier. doi:10.1016/j.oooo.2023.03.068 -
NLM
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2026 fev. 26 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068 -
Vancouver
Araujo ALD, Souza ESC de, Faustino ISP, Saldivia-Siracusa C, Lopes MA, Carvalho ACP de LF de, Santos-Silva AR dos. Deep learning for automatic segmentation of clinical photographs of oral premalignant and malignant lesions [Internet]. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2023 ; 136( 1): e31-e32.[citado 2026 fev. 26 ] Available from: https://doi.org/10.1016/j.oooo.2023.03.068 - Machine learning concepts applied to oral pathology and oral medicine: a convolutional neural networks' approach
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- A convolutional neural network framework with ConvNeXt and Grad-CAM for classification of oral potentially malignant disorders and oral squamous cell carcinoma
- Clinicians' perception of oral potentially malignant disorders: a pitfall for image annotation in supervised learning
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- Metalearning for context-aware filtering: selection of tensor factorization algorithms
Informações sobre o DOI: 10.1016/j.oooo.2023.03.068 (Fonte: oaDOI API)
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