Use of algorithms for semi-automatic quantification of pulmonary fibrosis and emphysema

Obtaining a semi-automatic quantification of pathologies found in the lung, through images of high resolution computed tomography (HRCT), is of great importance to aid in medical diagnosis. Paraccocidioidomycosis (PCM) is a systemic disease that affects the lung and even after effective treatment leaves sequels such as pulmonary fibrosis and emphysema. It is very important to the area of tropical diseases that the lung injury be quantified more accurately. In this stud, we propose the development of algorithms in computational environment Matlab® able to objectively quantify lung diseases such as fibrosis and emphysema. The program consists in selecting the region of interest (ROI), and through the use of density masks and filters, obtaining the lesion area quantification in relation to the healthy area of the lung. The proposed method was tested on 15 exams of HRCT of patients with confirmed PCM. To prove the validity and effectiveness of the method, we used a virtual phantom, also developed in this research. © 2013 Springer-Verlag.

Automatic segmentation and classification of human intestinal parasites from microscopy images

Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis. © 2012 IEEE.

A crise orgânica do Partido Comunista Brasileiro (PCB) e o declínio do socialismo real

Pós-graduação em Ciências Sociais - FFC

A questão democrática no contexto da crise orgânica do partido comunista brasileiro (PCB): 1979-1987

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Da abertura à transição: o PCB e a cultura política democrática da esquerda brasileira

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

Dutra, Adhemar e a repressão ao PCB: o incidente de Ribeirão Preto (1949)

Pós-graduação em História - FCHS

A democracia impressa: transição do campo jornalístico e do político e a cassação do pcb nas páginas da grande imprensa 1945-1948

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Identificação de doenças em folhas vegetais da cultura de algodão

Pós-graduação em Ciência da Computação - IBILCE

Conteúdo celular do leite bubalino proveniente de quartos mamários sadios e portadores de mastite

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

An automatic methodology for obtaining optimum shape factors for the radial point interpolation method

In this letter, a methodology is proposed for automatically (and locally) obtaining the shape factor c for the Gaussian basis functions, for each support domain, in order to increase numerical precision and mainly to avoid matrix inversion impossibilities. The concept of calibration function is introduced, which is used for obtaining c. The methodology developed was applied for a 2-D numerical experiment, which results are compared to analytical solution. This comparison revels that the results associated to the developed methodology are very close to the analytical solution for the entire bandwidth of the excitation pulse. The proposed methodology is called in this work Local Shape Factor Calibration Method (LSFCM).

A democracia impressa: transição do campo jornalístico e do político e a cassação do PCB nas páginas da grande imprensa, 1945-1948

Pós-graduação em Letras - FCLAS

Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction

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

An automatic method for segmentation of fission tracks in epidote crystal photomicrographs

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