Search results for "Fully automatic"

showing 10 items of 11 documents

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation

2018

In this paper, we propose a fully automatic MRI cardiac segmentation method based on a novel deep convolutional neural network (CNN) designed for the 2017 ACDC MICCAI challenge. The novelty of our network comes with its embedded shape prior and its loss function tailored to the cardiac anatomy. Our model includes a cardiac center-of-mass regression module which allows for an automatic shape prior registration. Also, since our method processes raw MR images without any manual preprocessing and/or image cropping, our CNN learns both high-level features (useful to distinguish the heart from other organs with a similar shape) and low-level features (useful to get accurate segmentation results).…

Cardiac anatomybusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNovelty030204 cardiovascular system & hematologyGridConvolutional neural networkAccurate segmentation030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineFully automaticPreprocessorSegmentationComputer visionArtificial intelligencebusiness
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An efficient method for fully automatic 3D digitization of unknown objects

2013

Our goal is to develop a complete and automatic scanning strategy with minimum prior information about the object shape. We aim to establish a methodology for the automation of the 3D digitization process. The paper presents a novel approach to determine the Next Best View (NBV) for an efficient reconstruction of highly accurate 3D models. Our method is based on the classification of the acquired surfaces into Well Visible and Barely Visible combined with a best view selection algorithm based on mean shift, which avoids unreachable positions. Our approach is applicable to all kinds of range sensors. To prove the efficiency and the robustness of our method, test objects are first scanned man…

General Computer Sciencebusiness.industryComputer science3D reconstructionGeneral Engineering[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringRanging02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Fully automatic0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionMean-shiftArtificial intelligencebusinessSelection algorithmDigitization
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A Numerical Approach to the Keel Design of a Sailing Yacht

2008

This paper describes an approach to the keel design of a sailing yacht. The related software, which is fully automatic, permits to obtain an optimal shape by modifying the surface used to define the keel planform. B-spline curves and surfaces have been used because of their ability in following complex shapes. The algorithm integrates ad hoc implemented original software with Computational Fluid Dynamics (CFD) commercial ones. The optimisation procedure makes use of Genetic Algorithms (GAs) and a gradient – based optimiser for the refinement of the solution. A careful CAD and CFD modelling leads to a stable and efficient generalised method, which has been applied to the design of the centre…

EngineeringEnvironmental EngineeringKeelDesign optimisationbusiness.industryGASailing yacht; CFD; GAs; Design optimisationOcean EngineeringCADComputational fluid dynamicsPlanformSoftwareFully automaticSailing yachtbusinessCFDSettore ING-IND/15 - Disegno E Metodi Dell'Ingegneria IndustrialeSimulationComputingMethodologies_COMPUTERGRAPHICSMarine engineeringSailing yacht CFD GAs Design optimisation
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A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method

2020

AbstractBackgroundPositron Emission Tomography (PET) is increasingly utilized in radiomics studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET images is a critical and still challenging step in the process of radiomics, due to the low spatial resolution and high noise level of PET images. Currently, the biological target volume (BTV) is manually contoured by nuclear physicians, with a time expensive and operator-dependent procedure.This study aims to obtain BTVs from cerebral metastases in patients who underwent L-[11C]methionine (11C-MET) PET, using a fully automatic procedure and to use these BTVs to extract radiomics features to stratify between p…

MalePositron emission tomographyComputer scienceLesion volumelcsh:Computer applications to medicine. Medical informaticsBiochemistry030218 nuclear medicine & medical imagingLesion03 medical and health sciences0302 clinical medicineRadiomicsStructural BiologyArtificial IntelligencemedicineHumansSegmentationNeoplasm Metastasislcsh:QH301-705.5Molecular BiologyCancerActive contour modelRadiomicsmedicine.diagnostic_testBrain Neoplasmsbusiness.industryApplied MathematicsResearchCancerPattern recognitionMiddle AgedPrognosismedicine.diseaseComputer Science ApplicationsCancer treatmentBiological target volumelcsh:Biology (General)Positron emission tomographyFeature (computer vision)030220 oncology & carcinogenesisPositron-Emission TomographyFully automaticlcsh:R858-859.7FemaleActive contourArtificial intelligencemedicine.symptomRadiomicActive contour; Biological target volume; Cancer; Positron emission tomography; Radiomics.businessBMC Bioinformatics
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Layout algorithms of graph-like diagrams for GRADE windows graphic editors

1996

We propose a set of layout operations ensuring flexible and convenient interactive editing of communication diagrams and nested entity-relationship models having textual labels on connections. The set includes several procedures for incremental diagram layout. Tools for fully automatic layout and for direct manual painting of graphic primitives are also integrated in a single system. In this way we have filled to some extent the gap between both extremal levels of editing.

Layout algorithmPaintingComputer scienceComputer graphics (images)Fully automaticGraph (abstract data type)Interactive editing
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On Psychological Aspects about Electric Vehicles, Part 1

2021

The high diffusion of electric vehicles is evidenced by every sector magazine or by the catalog of all the manufacturers inserting incessantly new models. But what are the user's most hidden reactions to the new world of vehicles? Is the user ready for the fifth level of automation (fully automatic driving and absence of the driving position)? The purpose of this paper is to present and discuss the psychological aspects that influence the adoption of electric vehicles by users and beyond. Topics such as the egg and chicken paradox (electric vehicles and charging stations, who was born first) but also performance anxiety (range anxiety) will be addressed. Contradictions and irony will charac…

egg and chicken paradoxRange anxietybusiness.industrymedia_common.quotation_subjectBatteryAutomationkey motivators and barriersIronyFully automaticpublic perceptionPosition (finance)Psychological aspectsrange anxietybusinessTelecommunicationselectric vehiclesmedia_common2021 Sixteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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Automatic aesthetic photo composition

2013

A proper aesthetic composition of photographic content does result in an actual emotional response from the watcher. In this work we propose a fully automatic computational approach to photo composi- tion. This method takes into account well-known and widely adopted aesthetic guidelines relative to picture content as a mean for guiding an optimization framework. The resulting composition is produced as the optimal combination of cropping and retargeting. The effectiveness of the results achieved by the method are tested and evaluated with several of experiments.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryRetargetingFully automaticphoto composition retargeting visual saliencyOptimal combinationComputer visionArtificial intelligencebusinessCroppingComposition (language)Visual saliency
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A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation

2015

PurposeMagnetic Resonance guided Focused UltraSound (MRgFUS) represents a non-invasive surgical approach that uses thermal ablation to treat uterine fibroids. After the MRgFUS treatment, an operator must manually segment the treated fibroid areas to evaluate the NonPerfused Volume (NPV). This manual approach is operator-dependent, introducing issues of result reproducibility, which could lead to errors in the subsequent follow-up phase. Moreover, manual segmentation is time-consuming, and can have a negative impact on the optimization of both machine-time and operator-time. MethodTo address these issues, in this paper a novel fully automatic method based on the unsupervised Fuzzy C-Means cl…

medicine.medical_specialtyDatabases FactualUterine fibroidsComputer scienceAdaptive thresholdingImage ProcessingAdaptive thresholding; Automatic segmentation; Fuzzy C-Means clustering; MRgFUS treatment; Uterine fibroids; Female; Humans; Image Processing Computer-Assisted; Leiomyoma; Radiography; Algorithms; Databases Factual; Magnetic Resonance Imaging; Ultrasonography InterventionalHealth InformaticsFuzzy logicDatabasesComputer-AssistedImage Processing Computer-AssistedmedicineHumansSegmentationCluster analysisFactualUltrasonography InterventionalUltrasonographySettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniInterventionalLeiomyomaPixelbusiness.industryPattern recognitionmedicine.diseaseMagnetic Resonance ImagingFuzzy C-Means clusteringComputer Science ApplicationsSurgeryRadiographyTreatment evaluationMRgFUS treatmentFully automaticFemaleManual segmentationArtificial intelligenceAutomatic segmentationAdaptive thresholding Automatic segmentation Fuzzy C-Means clustering MRgFUS treatment Uterine fibroidsbusinessAlgorithmsUterine fibroids
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Electric vehicles and psychology

2021

The popularity of electric vehicles is evidenced by the broad range of manufacturers presenting new models of plug-in hybrid and battery vehicles. However, the success of the revolution or, rather, the rebirth of electric vehicles, is hanging by a thread, as it lacks the involvement of a large number of users, and many psychological mechanisms hinder it. What are users’ true feelings about this new world of vehicles? Are people ready for the fifth level of automation, i.e., fully automatic driving and the absence of the driving position? The purpose of this paper is to present and discuss the psychological aspects that influence the adoption of electric vehicles. Topics such as the chicken …

Thread (network protocol)Electric vehiclesPublic perception020209 energymedia_common.quotation_subjectGeography Planning and DevelopmentTJ807-830Battery02 engineering and technologyManagement Monitoring Policy and LawTD194-195Renewable energy sourcesChicken and egg paradox0502 economics and business0202 electrical engineering electronic engineering information engineeringGE1-350Range anxietymedia_common050210 logistics & transportationRange anxietyEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industry05 social sciencesPopularityAutomationKey motivators and barriersIronyEnvironmental sciencesFully automaticPosition (finance)Psychological aspectsTelecommunicationsbusiness
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Fully automatic multispectral MR image segmentation of prostate gland based on the fuzzy C-means clustering algorithm

2017

Prostate imaging is a very critical issue in the clinical practice, especially for diagnosis, therapy, and staging of prostate cancer. Magnetic Resonance Imaging (MRI) can provide both morphologic and complementary functional information of tumor region. Manual detection and segmentation of prostate gland and carcinoma on multispectral MRI data is not easily practicable in the clinical routine because of the long times required by experienced radiologists to analyze several types of imaging data. In this paper, a fully automatic image segmentation method, exploiting an unsupervised Fuzzy C-Means (FCM) clustering technique for multispectral T1-weighted and T2-weighted MRI data processing, is…

Computer scienceMultispectral imageFully automatic segmentation; Multispectral MR imaging; Prostate cancer; Prostate gland; Unsupervised fuzzy C-means clusteringFuzzy logic030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicineProstatemedicineSegmentationComputer visionCluster analysismedicine.diagnostic_testbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingfully automatic segmentationImage segmentationmedicine.diseaseprostate cancermultispectral MR imagingunsupervised Fuzzy C-Means clusteringmedicine.anatomical_structureArtificial intelligencebusinessprostate gland030217 neurology & neurosurgery
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