Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier (2018)
- Authors:
- USP affiliated authors: BAGNATO, VANDERLEI SALVADOR - IFSC ; KURACHI, CRISTINA - IFSC
- Unidade: IFSC
- DOI: 10.1063/1.5036640
- Subjects: NEOPLASIAS (TRATAMENTO); CARCINOMA BASOCELULAR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: College Park
- Date published: 2018
- Source:
- Título do periódico: Journal of Applied Physics
- ISSN: 0021-8979
- Volume/Número/Paginação/Ano: v. 124, n. 4, p. 044701-1-044701-8, July 2018
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
STRINGASCI, Mirian Denise et al. Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier. Journal of Applied Physics, v. 124, n. 4, p. 044701-1-044701-8, 2018Tradução . . Disponível em: https://doi.org/10.1063/1.5036640. Acesso em: 25 abr. 2024. -
APA
Stringasci, M. D., Salvio, A. G., Sbrissa Neto, D., Vollet-Filho, J. D., Bagnato, V. S., & Kurachi, C. (2018). Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier. Journal of Applied Physics, 124( 4), 044701-1-044701-8. doi:10.1063/1.5036640 -
NLM
Stringasci MD, Salvio AG, Sbrissa Neto D, Vollet-Filho JD, Bagnato VS, Kurachi C. Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier [Internet]. Journal of Applied Physics. 2018 ; 124( 4): 044701-1-044701-8.[citado 2024 abr. 25 ] Available from: https://doi.org/10.1063/1.5036640 -
Vancouver
Stringasci MD, Salvio AG, Sbrissa Neto D, Vollet-Filho JD, Bagnato VS, Kurachi C. Discrimination of benign-versus-malignant skin lesions by thermographic images using support vector machine classifier [Internet]. Journal of Applied Physics. 2018 ; 124( 4): 044701-1-044701-8.[citado 2024 abr. 25 ] Available from: https://doi.org/10.1063/1.5036640 - PDT protocols to enhance melanoma treatment response
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Informações sobre o DOI: 10.1063/1.5036640 (Fonte: oaDOI API)
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