Crescimento e deposição de nutrientes nas penas, músculo, ossos e pele de frangos de corte de duas linhagens comerciais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Técnicas de computação natural para segmentação de imagens médicas

Image segmentation is one of the image processing problems that deserves special attention from the scientific community. This work studies unsupervised methods to clustering and pattern recognition applicable to medical image segmentation. Natural Computing based methods have shown very attractive in such tasks and are studied here as a way to verify it's applicability in medical image segmentation. This work treats to implement the following methods: GKA (Genetic K-means Algorithm), GFCMA (Genetic FCM Algorithm), PSOKA (PSO and K-means based Clustering Algorithm) and PSOFCM (PSO and FCM based Clustering Algorithm). Besides, as a way to evaluate the results given by the algorithms, clustering validity indexes are used as quantitative measure. Visual and qualitative evaluations are realized also, mainly using data given by the BrainWeb brain simulator as ground truth

Desenvolvimento de antenas de microfita com aberturas nos patches condutores através do método da segmentação

Microstrip antennas are widely used in modern telecommunication systems. This is particularly due to the great variety of geometries and because they are easily built and integrated to other high frequency devices and circuits. This work presents a study of the properties of the microstrip antenna with an aperture impressed in the conducting patch. Besides, the analysis is performed for isotropic and anisotropic dielectric substrates. The Multiport Network Model MNM is used in combination with the Segmentation Method and the Greens function technique in the analysis of the considered microstrip antenna geometries. The numerical analysis is performed by using the boundary value problem solution, by considering separately the impedance matrix of the structure segments. The analysis for the complete structure is implemented by choosing properly the number and location of the neighboor element ports. The numerial analysis is performed for the following antenna geometries: resonant cavity, microstrip rectangular patch antenna, and microstrip rectangular patch antenna with aperture. The analysis is firstly developed for microstrip antennas on isotropic substrates, and then extended to the case of microstrip antennas on anisotropic substrates by using a Mapping Method. The experimental work is described and related to the development of several prototypes of rectangular microstrip patch antennas wtih and without rectangular apertures. A good agreement was observed between the simulated and measured results. Thereafter, a good agreement was also observed between the results of this work and those shown in literature for microstrip antennas on isotropic substrates. Furthermore, results are proposed for rectangular microstrip patch antennas wtih rectangular apertures in the conducting patch

A trapaça é rara, mas é bem lembrada: o efeito da cor da pele e do gênero na memória de faces

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Paralelização em GPU da segmentação vascular com extração de Centerlines por Height Ridges

The vascular segmentation is important in diagnosing vascular diseases like stroke and is hampered by noise in the image and very thin vessels that can pass unnoticed. One way to accomplish the segmentation is extracting the centerline of the vessel with height ridges, which uses the intensity as features for segmentation. This process can take from seconds to minutes, depending on the current technology employed. In order to accelerate the segmentation method proposed by Aylward [Aylward & Bullitt 2002] we have adapted it to run in parallel using CUDA architecture. The performance of the segmentation method running on GPU is compared to both the same method running on CPU and the original Aylward s method running also in CPU. The improvemente of the new method over the original one is twofold: the starting point for the segmentation process is not a single point in the blood vessel but a volume, thereby making it easier for the user to segment a region of interest, and; the overall gain method was 873 times faster running on GPU and 150 times more fast running on the CPU than the original CPU in Aylward

Segmentação Fuzzy de Texturas e Vídeos

The segmentation of an image aims to subdivide it into constituent regions or objects that have some relevant semantic content. This subdivision can also be applied to videos. However, in these cases, the objects appear in various frames that compose the videos. The task of segmenting an image becomes more complex when they are composed of objects that are defined by textural features, where the color information alone is not a good descriptor of the image. Fuzzy Segmentation is a region-growing segmentation algorithm that uses affinity functions in order to assign to each element in an image a grade of membership for each object (between 0 and 1). This work presents a modification of the Fuzzy Segmentation algorithm, for the purpose of improving the temporal and spatial complexity. The algorithm was adapted to segmenting color videos, treating them as 3D volume. In order to perform segmentation in videos, conventional color model or a hybrid model obtained by a method for choosing the best channels were used. The Fuzzy Segmentation algorithm was also applied to texture segmentation by using adaptive affinity functions defined for each object texture. Two types of affinity functions were used, one defined using the normal (or Gaussian) probability distribution and the other using the Skew Divergence. This latter, a Kullback-Leibler Divergence variation, is a measure of the difference between two probability distributions. Finally, the algorithm was tested in somes videos and also in texture mosaic images composed by images of the Brodatz album

Segmentação fuzzy de imagens e vídeos

Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the frames in object that have similar features, there is a consistency requirement among segmentations of successive frames of the video. Fuzzy segmentation is a region growing technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership between 0 and 1 to an object. In this work we present an application that uses a fuzzy segmentation algorithm to identify and select particles in micrographs and an extension of the algorithm to perform video segmentation. Here, we treat a video shot is treated as a three-dimensional volume with different z slices being occupied by different frames of the video shot. The volume is interactively segmented based on selected seed elements, that will determine the affinity functions based on their motion and color properties. The color information can be extracted from a specific color space or from three channels of a set of color models that are selected based on the correlation of the information from all channels. The motion information is provided into the form of dense optical flows maps. Finally, segmentation of real and synthetic videos and their application in a non-photorealistic rendering (NPR) toll are presented

Análise morfométrica do colágeno dérmico a partir da segmentação por conglomerados (clusters) de cor

Análise morfométrica do colágeno dérmico pode fornecer subsídio quantitativo para a pesquisa em dermatologia. Os autores demonstram uma técnica de análise de imagem digital que permite a identificação de estruturas microscópicas, a partir da segmentação por conglomerados (clusters), de cor aplicada à estimativa da intensidade e densidade das fibras colágenas da derme.

Associação entre espessura da pele e densidade óssea em mulheres adultas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Segmentação fuzzy de imagens coloridas com características texturais: uma aplicação a rochas sedimentares

Image segmentation is the process of labeling pixels on di erent objects, an important step in many image processing systems. This work proposes a clustering method for the segmentation of color digital images with textural features. This is done by reducing the dimensionality of histograms of color images and using the Skew Divergence to calculate the fuzzy a nity functions. This approach is appropriate for segmenting images that have colorful textural features such as geological, dermoscopic and other natural images, as images containing mountains, grass or forests. Furthermore, experimental results of colored texture clustering using images of aquifers' sedimentary porous rocks are presented and analyzed in terms of precision to verify its e ectiveness.

Padrões histopatológicos das lesões descamativas e ulcerativas da pele em cães com leishmaniose

Canine visceral leishmaniasis is an endemic infectious disease in some São Paulo state regions and even though it is a systemic disease, in the dog, the main clinical sign is dermatological. Thirty dogs with positive results in serology and parasitological exams for leishmaniasis from Aracatuba city were evaluated. They just showed dermatological signs and were divided in two groups, one with exfoliative(n = 15) and other with ulcerative (n = 15) lesions. Histopathological. patterns in the group of exfoliative lesions were: periadnexial dermatitis (5115, 33,3%), superficial perivascular dermatitis (1/5, 6,6%), nodular dermatitis (1115, 6,6%) and mixed dermatitis (8/15, 53,3%), including intersticial/periadnexial dermatitis (1/8, 12,5%). lichenoid/perivascular superficial and deep dermatitis (1/8, 12,5%), perivascular superficial and deep/periadnexial dermatitis (1/8, 12,5%) and superficial perivascular/perianexial dermatitis (5/8, 62,5%). In the group of ulcerative lesions, the histopathological patterns were: perivascular superficial and deep dermatitis (5115, 33,3%), diffuse dermatitis (3/15. 20%), periadnexial dermatitis (2/15, 13,3%), nodular dermatitis (1/15, 6,6%) and mixed dermatitis (4/15, 26,6%), including intersticial/perivascular superficial and deep dermatitis (1/4, 25%), nodular/periadnexial dermatitis (1/4, 25%), fibrosing/perianexial dermatitis (1/4. 25%) and perivascular superficial and deep/periadnexial dermatitis(1/4, 25%). Parasites were found in eight dogs (8/15, 53,3%) with exfoliative dematitis and seven (7/15, 46,6%) with ulcerative dermatitis.

DESENVOLVIMENTO DE UMA ESCALA em SILICONA PARA TONS DE PELE HUMANA

O autor desenvolveu em silicona uma escala de tonalidades de pele humana. Foram confeccionados vinte e sete corpos-de-prova em silicona acética (Silastic 732 RTV), pigmentados com óxidos de ferro e dióxido de titânio. A quantidade de silicona acética manteve-se constante (dois gramas) em todos os corpos-de-prova, e os pigmentos foram misturados a ela em várias proporções até a obtenção de vinte e sete diferentes tonalidades. Através da comparação da cor dos corpos-de-prova com a cor da pele de quarenta e um indivíduos, foram selecionados os cinco corpos-de-prova com as tonalidades que mais se igualavam à cor da pele dos pacientes, compondo, assim, um guia de tonalidades. Com a metodologia empregada, foi possível desenvolver uma escala de tonalidades de pele que poderá facilitar a definição do tom da pele do paciente quando da confecção de próteses faciais em silicona, permitindo economia de tempo e de material no momento da seleção da cor.

Three-dimensional magnetic resonance reconstruction images before and after surgical therapy of spontaneous canine brain tumors

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Ausência de efeito antinociceptivo decorrente da administração intravenosa de crotalfina em comparação com morfina, U50-488H ou fenilbutazona em equinos submetidos à estimulação térmica da pele íntegra

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Câncer de pele: uso de medidas preventivas e perfil demográfico de um grupo de risco na cidade de Botucatu

Buscou-se junto a um grupo de risco para o câncer de pele seu o perfil demográfico e analisou-se o uso de medidas preventivas utilizadas pelos mesmos e pela empresa. Estudo quantitativo com 33 carteiros da Empresa Brasileira de Correios e Telégrafos em Botucatu, Brasil. Dados obtidos por meio de um formulário que investigava perfil demográfico, tempo de trabalho na empresa, horário de exposição ao sol, história de queimaduras solares, história de câncer na família e formas de prevenção do câncer de pele utilizadas. Na análise dos dados, utilizou-se estatística descritiva segundo Teste Exato de Fisher ao nível de 5% de probabilidade. Os resultados mostraram que a faixa etária predominante foi de 26 a 30 e de 31 a 35 anos, correspondendo a 42,42% da amostra, a cor da pele foi à branca com 93,94% e 81,82% trabalham há mais de cinco anos na empresa. O hábito de usar filtro solar foi encontrado em 63,63% dos entrevistados, sendo a não aderência a este justificada em 75% por falta de costume. em relação aos equipamentos protetores do sol a empresa fornece para 100% deles. Os achados permitem a caracterização da população estudada, identificada como de risco para o câncer de pele, propiciando a profilaxia através de ações em saúde, visando à sensibilização dos mesmos para com as medidas preventivas que podem ser adotadas.