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Brain Tumor Segmentation and Identification Using Particle Imperialist Deep Convolutional Neural Network in MRI Images
For the past few years, segmentation for medical applications using Magnetic Resonance (MR) images is concentrated. Segmentation of Brain tumors using MRIpaves an effective platform to plan the treatment and diagnosis of ...
RBF circuits based on folded cascode differential pairs
(2008-12-01)
We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode ...
RBF circuits based on folded cascode differential pairs
(2008-12-01)
We propose new circuits for the implementation of Radial Basis Functions such as Gaussian and Gaussian-like functions. These RBFs are obtained by the subtraction of two differential pair output currents in a folded cascode ...
Improvements on ICA mixture models for image pre-processing and segmentation
(ELSEVIER SCIENCE BV, 2008)
Today several different unsupervised classification algorithms are commonly used to cluster similar patterns in a data set based only on its statistical properties. Specially in image data applications, self-organizing ...
Pattern recognition structured heuristics methods for image processing in mobile robot navigation
(2010-12-01)
In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as ...
Pattern recognition structured heuristics methods for image processing in mobile robot navigation
(2010-12-01)
In this project, the main focus is to apply image processing techniques in computer vision through an omnidirectional vision system to agricultural mobile robots (AMR) used for trajectory navigation problems, as well as ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Fast automatic microstructural segmentation of ferrous alloy samples using optimum-path forest
(2010-05-21)
In this work we propose a novel automatic cast iron segmentation approach based on the Optimum-Path Forest classifier (OPF). Microscopic images from nodular, gray and malleable cast irons are segmented using OPF, and Support ...
Performance Analysis of the Segment Transfer Rate of TCP-UEM
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2019)