Segmentation Of Images
Mostrando 1-12 de 128 artigos, teses e dissertações.
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1. Free three-dimensional image software in local extension assessment of oral squamous cell carcinoma: a pilot study
Abstract Objective: Oral Squamous Cell Carcinoma (OSCC) is conventionally treated by surgical resection, and positive surgical margins strongly increase local recurrence and decrease survival. This study aimed to evaluate whether a Three-Dimensional Segmentation (3DS) image of OSCC confers advantage over Multiplanar Reconstruction (MPR) of OSCC using images
Brazilian Journal of Otorhinolaryngology. Publicado em: 2022
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2. Analysis of cracks and coating in iron ore pellets by digital image processing
Abstract The pelletizing process agglomerates ore fines previously considered as tailings and makes its application possible in the form of pellets. During the process, the pellets are subjected to various compressive forces and temperature changes, which cause ruptures in their surface. These ruptures (cracks) impair the performance of the pellets in the re
REM, Int. Eng. J.. Publicado em: 2020-09
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3. Detection of foliar diseases using image processing techniques
ABSTRACT This paper presents the development of a methodology to detect the percentage of affected area of Phytophthora infestans disease in tomato plants, using digital image processing techniques to extract the regions of interest with color analysis, where the YIQ and TSL models for the detection of the disease. The method consists of solving one of the m
Rev. Ceres. Publicado em: 2020-04
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4. Factors affecting fluoroscopy time during percutaneous nephrolithotomy: Impact of stone volume distribution in renal collecting system
ABSTRACT Purpose: To identify the factors increased fluoroscopy time during percutaneous nephrolithotomy and investigate the relationship between the 3D segmentation volume ratio of stone to renal collecting system and fluoroscopy time. Materials and Methods: Data from 102 patients who underwent percutaneous nephrolithotomy were analyzed retrospectively. V
Int. braz j urol.. Publicado em: 20/12/2019
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5. Mature pomegranate recognition methods in natural environments using machine vision
RESUMO: O uso de máquina para reconhecer romãs maduras em ambientes naturais é de grande importância para melhorar a aplicabilidade e a eficiência do trabalho de robôs de colheita. Ao analisar as características de cor das imagens coloridas de romãs maduras sob diferentes condições de iluminação, a viabilidade do modelo de cores YCbCr para o rec
Cienc. Rural. Publicado em: 02/09/2019
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6. MORPHOLOGICAL CHARACTERIZATION OF COLORECTAL PITS USING AUTOFLUORESCENCE MICROSCOPY IMAGES
RESUMO CONTEXTO: O câncer colorretal é uma das patologias mais prevalentes. Seu prognóstico é ligado à detenção e ao tratamento precoces. Atualmente o diagnóstico é realizado por análise histológica de biópsias de pólipo, seguida de classificação morfológica. A classificação de padrões de Kudo é frequentemente utilizada para a diferenci
Arq. Gastroenterol.. Publicado em: 26/08/2019
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7. 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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8. A smartphone-based apple yield estimation application using imaging features and the ANN method in mature period
ABSTRACT: Apple yield estimation using a smartphone with image processing technology offers advantages such as low cost, quick access and simple operation. This article proposes distribution framework consisting of the acquisition of fruit tree images, yield prediction in smarphone client, data processing and model calculation in server client for estimating
Sci. agric. (Piracicaba, Braz.). Publicado em: 2018-08
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9. Algorithm for predicting macular dysfunction based on moment invariants classification of the foveal avascular zone in functional retinal images
Abstract Introduction A new method for segmenting and quantifying the macular area based on morphological alternating sequential filtering (ASF) is proposed. Previous studies show that persons with diabetes present alterations in the foveal avascular zone (FAZ) prior to the appearance of retinopathy. Thus, a proper characterization of FAZ using a method of
Res. Biomed. Eng.. Publicado em: 21/12/2017
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10. Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study
Abstract To calculate root canal volume and surface area in microCT images, an image segmentation by selecting threshold values is required, which can be determined by visual or automatic methods. Visual determination is influenced by the operator's visual acuity, while the automatic method is done entirely by computer algorithms. Objective: To compare betw
J. Appl. Oral Sci.. Publicado em: 2017-12
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11. Microstructure and hardness of cement pastes with mineral admixture
ABSTRACT Portland cement pastes are highly heterogeneous material and exhibits heterogeneous features over a wide range of length scales. Mechanical properties of microstructure can be determined using depth-sensing indentation. Coupled indentation/SEM technique can be used to location the indents and provides a way to determine the mechanical properties of
Matéria (Rio J.). Publicado em: 22/06/2017
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12. Development of a mouse computational model for MCNPx based on Digimouse (r) images and dosimetric assays
ABSTRACT The aim of this study was to create and test a new mice 3D-voxel phantom named DM_BRA for mice and human first-estimation radiopharmaceutical dosimetry. Previously, the article reviews the state-of-art in animal model development. Images from Digimouse CT database were used in the segmentation and on the generation of the voxelized phantom. Simulati
Braz. J. Pharm. Sci.. Publicado em: 20/04/2017