Search results for " fuzzy clustering"

showing 3 items of 3 documents

Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration

2009

This paper presents a novel method for medical image regis- tration. The global transformation is obtained by composing affine trans- formations, which are recovered locally from given landmarks. Transfor- mations of adjacent regions are smoothed to avoid blocking artifacts, so that a unique continuous and differentiable global function is obtained. Such composition is operated using a technique derived from fuzzy C- means clustering. The method was successfully tested on several datasets; results, both qualitative and quantitative, are shown. Comparisons with other methods are reported. Final considerations on the efficiency of the technique are explained.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industryImage registrationPattern recognitionComposition (combinatorics)Blocking (statistics)Fuzzy logicfree form deformation image registration fuzzy clustering function interpolation.Global transformationComputer visionDifferentiable functionArtificial intelligenceAffine transformationbusinessCluster analysisMathematics
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Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering

2022

Abstract Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality for breast cancer detection and is increasingly playing a key role in lesion characterization. In this context, accurate and reliable quantification of the shape and extent of breast cancer is crucial in clinical research environments. Since conventional lesion delineation procedures are still mostly manual, automated segmentation approaches can improve this time-consuming and operator-dependent task by annotating the regions of interest in a reproducible manner. In this work, a semi-automated and interactive approach based on the spatial Fuzzy C-Means (sFCM) algorithm is proposed, used to segme…

Fuzzy clusteringUnsupervised fuzzy clusteringbusiness.industryComputer scienceBiomedical EngineeringHealth InformaticsPattern recognitionImage processingContext (language use)Image segmentationComputer-assisted lesion detectionMagnetic Resonance ImagingThresholdingConvolutional neural networkBreast cancer; Computer-assisted lesion detection; Magnetic Resonance Imaging; Semi-automated segmentation; Spatial information; Unsupervised fuzzy clusteringBreast cancerSignal ProcessingSemi-automated segmentationSpatial informationSegmentationArtificial intelligencebusinessMultiparametric Magnetic Resonance ImagingBiomedical Signal Processing and Control
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Plastic or not plastic? That’s the problem: analysing the Italian students purchasing behavior of mineral water bottles made with eco-friendly packag…

2022

Abstract European Strategy for Plastics in a Circular Economy draws new shapes of economy in order to protect the environment and reduce marine pollution, GHGs and countries’ dependence on imported fossil fuels. The core of EU Strategy is also to try to transform the way plastic products are designed, produced, used and recycled in the EU. Italy is the first country in Europe and the second in the world for consumption of bottled water, with remarkable environmental impacts, from production to distribution. Starting from social science theory, this work aims to investigate consumers' behavior and the related factors that influence their behavior pertaining to the purchase of. mineral water …

Consumption (economics)Economics and EconometricsFuzzy clusterWater bottleFuzzy clusteringConsumer behaviour and sustainable consumptionCircular economyPlasticEnvironmental economicsBottled waterPurchasingSocial science theoryWork (electrical)Order (business)Settore AGR/01 - Economia Ed Estimo RuralePlastics; Social science theory; Water bottle; Consumer behaviour and sustainable consumption; Fuzzy clusteringGreen consumptionProduction (economics)BusinessWaste Management and DisposalResources, Conservation and Recycling
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