Source: Proceedings. Conference titles: World Congress on Medical Physics and Biomedical Engineering. Unidade: EESC
Subjects: NEOPLASIAS (CLASSIFICAÇÃO), MAMA, INTELIGÊNCIA ARTIFICIAL
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RIBEIRO, Patrícia Bellin e SCHIABEL, Homero e PATROCÍNIO, Ana Cláudia. Improvement in ann performance by the selection of the best texture features from breast masses in mammography images. 2006, Anais.. Seoul: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2006. . Acesso em: 16 set. 2024.APA
Ribeiro, P. B., Schiabel, H., & Patrocínio, A. C. (2006). Improvement in ann performance by the selection of the best texture features from breast masses in mammography images. In Proceedings. Seoul: Escola de Engenharia de São Carlos, Universidade de São Paulo.NLM
Ribeiro PB, Schiabel H, Patrocínio AC. Improvement in ann performance by the selection of the best texture features from breast masses in mammography images. Proceedings. 2006 ;[citado 2024 set. 16 ]Vancouver
Ribeiro PB, Schiabel H, Patrocínio AC. Improvement in ann performance by the selection of the best texture features from breast masses in mammography images. Proceedings. 2006 ;[citado 2024 set. 16 ]
