Wavelets in the computed evaluation of mammographic accreditation phantom images

This paper presents a novel approach to the computed assessment of a mammographic phantom device. The approach shown here is fully automated and is based on the automatic selection of the region of interest, in the use of the discrete wavelet transform (DWT) and morphological operators to assess the quality of the American College of Radiology (ACR) mammographic phantom images. The algorithms developed here have succesfully scored 30 images obtained with different combinations of voltage applied to the tube and exposure and could notice the differences in the radiographs due to the different level of exposure to radiation. © 2013 Springer-Verlag.

Classification of masses in mammographic image using wavelet domain features and polynomial classifier

Breast cancer is the most common cancer among women. In CAD systems, several studies have investigated the use of wavelet transform as a multiresolution analysis tool for texture analysis and could be interpreted as inputs to a classifier. In classification, polynomial classifier has been used due to the advantages of providing only one model for optimal separation of classes and to consider this as the solution of the problem. In this paper, a system is proposed for texture analysis and classification of lesions in mammographic images. Multiresolution analysis features were extracted from the region of interest of a given image. These features were computed based on three different wavelet functions, Daubechies 8, Symlet 8 and bi-orthogonal 3.7. For classification, we used the polynomial classification algorithm to define the mammogram images as normal or abnormal. We also made a comparison with other artificial intelligence algorithms (Decision Tree, SVM, K-NN). A Receiver Operating Characteristics (ROC) curve is used to evaluate the performance of the proposed system. Our system is evaluated using 360 digitized mammograms from DDSM database and the result shows that the algorithm has an area under the ROC curve Az of 0.98 ± 0.03. The performance of the polynomial classifier has proved to be better in comparison to other classification algorithms. © 2013 Elsevier Ltd. All rights reserved.

HTS: A new shape descriptor based on Hough Transform

In this paper we propose a novel method for shape analysis called HTS (Hough Transform Statistics), which uses statistics from Hough Transform space in order to characterize the shape of objects in digital images. Experimental results showed that the HTS descriptor is robust and presents better accuracy than some traditional shape description methods. Furthermore, HTS algorithm has linear complexity, which is an important requirement for content based image retrieval from large databases. © 2013 IEEE.

A estética da subjetividade rebelde na poética teatral do oprimido

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

O ambiente do artista. O ateliê e seus guardados

Pós-graduação em Artes - IA

Análise de multirresolução baseada em polinômio potência de Sigmóide - Wavelet

Pós-graduação em Ciência da Computação - IBILCE

Programa Ensino Médio em Rede: formação continuada para o desenvolvimento da leitura e escrita dos professores

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Da inquisição à ficção: as narrativas do inquérito e os processos da escrita em António Vieira e Lobo Antunes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise dinâmica por Wavelets em um sistema com fricção seca e amortecimento

Pós-graduação em Física - IGCE

Uso do Rad7 para a caracterização do torônio em águas de estâncias hidrominerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização radiométrica e de exalação de Radônio em rochas ornamentais silicáticas beneficiadas no Estado do Espírito Santo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

O 222Rn em área contaminada por hidrocarbonetos na região de Santa Bárbara D'Oeste (SP)

Pós-graduação em Geologia Regional - IGCE

Imagem & tecnologia: webmuseu de arte

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

Um estudo de marcadores culturais na obra An invincible memory pelo autotradutor João Ubaldo Ribeiro

Pós-graduação em Letras - IBILCE

Loucura: a temática que constrói o discurso da obra Hospício é Deus, de Maura Lopes Cançado

Pós-graduação em Letras - FCLAS