Search Results - "Neghina, Catalina"

Automatic Detection of Infantile Hemangioma using Convolutional Neural Network Approach by Horvath, Balazs, Neghina, Catalina, Griparis, Andreea, Sultana, Alina

“…Infantile hemangioma is the most common tumor of childhood. This study proposes an automatic detection as a preliminary step for a further accurate monitoring…”
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An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery by Neagoe, Victor-Emil, Neghina, Catalina-Elena

“…This paper presents a novel Artificial Bee Colony (ABC) approach for supervised classification of remote sensing images. One proposes to apply an ABC algorithm…”
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A genetic algorithm approach to purify the classifier training labels for the analysis of remote sensing imagery by Neagoe, Victor-Emil, Neghina, Catalina-Elena, Chirila-Berbentea, Vlad

“…This paper proposes a Genetic Algorithm (GA) approach to clean a given classifier training set for remote sensing image analysis. Starting from an initial set…”
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Feature selection with Ant Colony Optimization and its applications for pattern recognition in space imagery by Neagoe, Victor-Emil, Neghina, Elena-Catalina

“…This paper presents a feature selection (FS) algorithm using Ant Colony Optimization (ACO). It is inspired by the particular behavior of real ants, namely by…”
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Training label cleaning with ant colony optimization for classification of remote sensing imagery by Neagoe, Victor-Emil, Neghina, Catalina-Elena

“…This paper presents an original approach for improving performances of the supervised classifiers in remote sensing imagery by proposing a technique to refine…”
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Using infrared thermography for addressing the spatial variability of electromagnetic field in the proximity of emitting antennas by Sarbu, Annamaria, Cotoi, Alina, Vatamanu, David, Neghina, Catalina, Miclaus, Simona

“…The spatial variability of electromagnetic field (EMF) in the proximity of two patch antennas operating at 3,5 GHz and 5,17 GHz was investigated by measuring…”
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Automatic detection of hemangiomas using unsupervised segmentation of regions of interest by Neghina, Catalina, Zamfir, Marta, Sultana, Alina, Ovreiu, Elena, Ciuc, Mihai

“…In this paper we compare the performances of three automatic methods of identifying hemangioma regions in images: 1) unsupervised segmentation using the Otsu…”
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Automatic Detection of Apical Periodontitis using Running Maxima in Polar Coordinates by Cristina, Muntean, Catalina, Neghina, Monica, Vulcu

“…We introduce a novel method for the detection of apical periodontitis in radiography images, by combining image processing techniques, the partial…”
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Infantile Hemangioma Detection using Deep Learning by SULTANA, Alina, BALAZS, Horvath, OVREIU, Silvia, OPRISESCU, Serban, NEGHINA, Catalina

“…Infantile hemangiomas are the most common type of benign tumor which appear in the first weeks of life. As currently there is no robust protocol to monitor and…”
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Automatic Monitoring System for the Evolution of the Hemangiomas by Sultana, Alina, Neghina, Catalina, Zamfir, Marta

“…In this paper we describe an automatic monitoring system for the evolution of infantile hemangiomas using a fuzzy logic system based on two parameters: area…”
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Automatic monitoring system for the detection and evaluation of the evolution of hemangiomas by Neghina, Catalina, Zamfir, Marta, Ciuc, Mihai, Sultana, Alina, Popescu, Maria

“…In this paper we introduce an automatic monitoring system for the detection and the evaluation of the evolution of hemangiomas using a fuzzy logic system based…”
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