Lung Segmentation
Mostrando 1-10 de 10 artigos, teses e dissertações.
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1. Early and Accurate Model of Malignant Lung Nodule Detection System with Less False Positives
ABSTRACT The objective of this work is to identify the malignant lung nodules accurately and early with less false positives. ‘Nodule’ is the 3mm to 30mm diameter size tissue clusters present inside the lung parenchyma region. Segmenting such a small nodules from consecutive CT scan slices are a challenging task. In our work Auto-seed clustering based se
Braz. arch. biol. technol.. Publicado em: 08/10/2018
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2. Robust pulmonary segmentation for chest radiography, combining enhancement, adaptive morphology and innovative active contours
Abstract Introduction Statistical data reveal that approximately 140 million radiological exams are performed annually in Brazil. These exams are designed to detect and to analyze fractures, caused by different types of trauma; as well as, to diagnose pathologies such as pulmonary diseases. For better visualization of those lesions or abnormalities, method
Res. Biomed. Eng.. Publicado em: 13/09/2018
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3. Lung disease detection using feature extraction and extreme learning machine
INTRODUCTION: The World Health Organization estimates that by 2030 the Chronic Obstructive Pulmonary Disease (COPD) will be the third leading cause of death worldwide. Computerized Tomography (CT) images of lungs comprise a number of structures that are relevant for pulmonary disease diagnosis and analysis. METHODS: In this paper, we employ the Adaptive Cris
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-09
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4. Segmentação do pulmão em sequências de imagens de ressonância magnética utilizando a transformada de Hough. / Lung segmentation from magnetic resonance image sequences using Hough transform.
A segmentação é uma etapa intermediária no registro e reconstrução 3D do pulmão. Geralmente, os métodos de segmentação são interativos e utilizam diferentes estratégias para combinar a expertise dos humanos e a velocidade e precisão dos computadores. A segmentação de imagens RM do pulmão é particularmente difícil devido à grande variação
Publicado em: 2011
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5. SEGMENTAÇÃO AUTOMÁTICA DE NÓDULOS PULMONARES COM GROWING NEURAL GAS E MÁQUINA DE VETORES DE SUPORTE / AUTOMATIC SEGMENTATION OF PULMONARY NODULES WITH GROWING NEURAL GAS VECTOR MACHINE AND SUPPORT
O câncer de pulmão ainda é um dos mais incidentes em todo mundo. Seu diagnóstico é de difícil realização, devido as suas características morfológicas iniciais não estarem bem definidas e também por causa da sua localização em relação ao pulmão. É geralmente detectado tardiamente, que tem como conseqüência uma alta taxa de letalidade. Dian
Publicado em: 2010
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6. SEGMENTAÇÃO MULTICRITÉRIO PARA DETECÇÃO DE NÓDULOS PULMONARES EM IMAGENS DE TOMOGRAFIA COMPUTADORIZADA / MULTICRITERION SEGMENTATION FOR LUNG NODULE DETECTION IN COMPUTED TOMOGRAPHY
This study proposes a novel segmentation algorithm for lung nodules detection in thorax computed tomography (CT). In order to decide, at each iteration, whether two adjacent objects should be merged or not, a region growing procedure calculates a heterogeneity growth based on multiple criteria. However, segmentation algorithm depends on some parameters which
Publicado em: 2009
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7. Fuzzy modeling of electrical impedance tomography images of the lungs
OBJECTIVES: Aiming to improve the anatomical resolution of electrical impedance tomography images, we developed a fuzzy model based on electrical impedance tomography's high temporal resolution and on the functional pulmonary signals of perfusion and ventilation. INTRODUCTION: Electrical impedance tomography images carry information about both ventilation an
Clinics. Publicado em: 2008
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8. Automated segmentation of lungs with severe interstitial lung disease in CT
Purpose: Accurate segmentation of lungs with severe interstitial lung disease (ILD) in thoracic computed tomography (CT) is an important and difficult task in the development of computer-aided diagnosis (CAD) systems. Therefore, we developed in this study a texture analysis-based method for accurate segmentation of lungs with severe ILD in multidetector CT s
American Association of Physicists in Medicine.
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9. Misleading Manifestations of Coccidioides immitis In Vivo
We describe a case of coccidioidomycosis in which several unusual morphologic forms of Coccidioides immitis occurred in biopsy tissue from the right lower lung of a patient. To our knowledge, this is the first case where so many diverse morphologic forms were manifested in a single patient in the absence of typical endosporulating spherules. Immature spherul
American Society for Microbiology.
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10. Computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): Performance evaluation with independent data sets
The authors are developing a computer-aided detection system for pulmonary emboli (PE) in computed tomographic pulmonary angiography (CTPA) scans. The pulmonary vessel tree is extracted using a 3D expectation-maximization segmentation method based on the analysis of eigenvalues of Hessian matrices at multiple scales. A parallel multiprescreening method is ap
American Association of Physicists in Medicine.