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A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
(Institute of Electrical and Electronics Engineers, 2017-01)
Goal: In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained fully connected conditional random field model. Methods: ...
Quantificação da tortuosidade de vasos sanguíneos: definições e influência das etapas de realce e segmentação
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCCCâmpus São Carlos, 2021-11-08)
Morphological features of blood vessels can be used as markers of several pathologies affecting the tissues of organisms. Among these features, tortuosity displays a vital role in the study and diagnostic of conditions ...
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection
(Corporación Universidad de la Costa, 2021)
Renal artery in tufted capuchin monkey: Structure and morphometryArtéria renal do macaco prego: Estrutura e morfometria
(2018-01-01)
The objective was to describe the structure of the renal artery in capuchin monkey at the level of the proximal and distal arterial segments. Morphometric analysis was performed referring to the thickness and quantification ...
A graph-based framework for thermal faceprint characterization
(2011-09-26)
Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels ...
A feature selection strategy to optimize retinal vasculature segmentation
(Tech Science PressUnited States, 2022)
Automatic design of aperture filters using neural networks applied to ocular image segmentation
(European Association for Signal Processing, 2014-09)
Aperture filters are image operators which combine mathematical morphology and pattern recognition theory to design windowed classifiers. Previous works propose designing and representing such operators using large decision ...
Segmentação de vasos sanguíneos utilizando Redes Neurais Convolucionais: visualização e análise de correlação dos mapas de ativação
(Universidade Federal de São CarlosUFSCarCâmpus São CarlosEngenharia de Computação - EC, 2023-03-29)
Convolutional neural networks (CNN) are responsible for advancing the automation of tasks in the field of computer vision, with image classification, object recognition and image segmentation, as it is present in different ...
A graph-based framework for thermal faceprint characterization
(2011-09-26)
Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels ...
Paralelização em GPU da segmentação vascular com extração de Centerlines por Height Ridges
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2011-03-02)
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 ...