969 resultados para Processamento de imagem assistida por computador


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The injection molding of automotive parts is a complex process due to the many non-linear and multivariable phenomena that occur simultaneously. Commercial software applications exist for modeling the parameters of polymer injection but can be prohibitively expensive. It is possible to identify these parameters analytically, but applying classical theories of transport phenomena requires accurate information about the injection machine, product geometry, and process parameters. However, neurofuzzy networks, which achieve a synergy by combining the learning capabilities of an artificial neural network with a fuzzy set's inference mechanism, have shown success in this field. The purpose of this paper was to use a multilayer perceptron artificial neural network and a radial basis function artificial neural network combined with fuzzy sets to produce an inference mechanism that could predict injection mold cycle times. The results confirmed neurofuzzy networks as an effective alternative to solving such problems.

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The aim of this study was to retrospectively evaluate in the casuistry on class and systems frequently diagnosed in wild animals that were sent to the FMVZ-UNESP-Botucatu diagnostic imaging service. The class of birds was the most referred to the centers, followed by the mammals and reptiles. The majority of the requested tests were the radiographs and in a minor scale the tomography and ultrasound. Although the birds were the greatest number of animals sent to the service, mammals were the most radiographed for wound control. The most frequently observed system was the musculoskeletal caused by trauma, especially in birds. The radiograph was the most exam initially indicated, then the animal could be forwarded to other imaging modalities, which in wild animals medicine is still limited to research.

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Pós-graduação em Ciência da Computação - IBILCE

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Pós-graduação em Ciência da Computação - IBILCE

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Pós-graduação em Ciência da Computação - IBILCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

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Pós-graduação em Fonoaudiologia - FFC

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Pós-graduação em Fonoaudiologia - FFC

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Pós-graduação em Engenharia Mecânica - FEG

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A-Nperp, Pg-Nperp e mandibular plane). Thirty patients (male or female), with age varying from 19 to 48 years old were analyzed. All patients were diagnosted with mandibular retrognathism and submitted to bilateral sagital mandibular advancement. All tracings were performed in lateral cephalometric radiographs obtained one week before surgery. The intraclass correlation coefficient analysis (ICC), the t test adjusted for Tukey-Kramer test and Schuirmann test were applied. The results showed that the manual tracings and Nemotec® tracing had excellent reliabilities for all measures (ICC > 0.98). The Dolphin Imaging® showed low reliability in anterior facial height (value of ICC = 0.70), Co-A (value of ICC = 0.47) and Co-Gn (ICC value = 0.49). In A-Nperp, Pg-Nperp, Mandibular plan, SNA and SNB there were no differences between the 3 tracings (p > 0.05), for the anterior facial height measures differences were found between the Dolphin Imaging® and Nemotec® tracings, but no differences were observed as compared to the manual tracing (p > 0.05), in Co-A and Co-Gn measures t Dolphin Imaging® presented a significantly lower mean than the other methods (p > 0.05). The manual tracings were equivalent in 6 of 8 measures (A-Nperp, Pg-Nperp, md Plan, SNA, SNB and Co-A), there was no equivalence between the methods in the anterior facial height and Co-Gn measures (p < 0.01). The Dolphin Imaging® method was not equivalent in any of the 8 measures. It was concluded that in the manual tracing only the Co- Gn, Pg-Nperp and SNB measures confirmed the diagnosis of mandibular retrognathism, and the Nemotec® software showed better results than the Dolphin Imaging® software.