Search results for "automatic"

showing 10 items of 730 documents

Awake Surgery: Skills of Neurosurgeon Matter but Those of Patient Too. How to Optimize Functional Brain Mapping by Improving Per-Operatory Testing?

2011

International audience; It is now possible to perform resections of slowgrowing tumors in awake patients. Using direct electrical stimulation (DES), real-time functional mapping of the brain can be used to prevent the resection of essential areas near the tumor. For now, simple clinical tests are performed on conscious patients and combined with DES in order to discriminate functional and non-functional areas invaded by the tumors. In this work we try to develop a simple device based on a simple technology to better quantify the performances of the patients during the surgery itself and give a real-time feedback to the neurosurgeon that will help to further guide the surgery by improving th…

medicine.medical_specialtyClinical testsEnvironmental Engineeringlcsh:QP1-981business.industry[SCCO.NEUR]Cognitive science/Neurosciencelcsh:QR1-502lcsh:Microbiologylcsh:PhysiologyIndustrial and Manufacturing EngineeringSurgeryResection[SPI.AUTO]Engineering Sciences [physics]/AutomaticFunctional brainFunctional mapping[ SPI.AUTO ] Engineering Sciences [physics]/Automaticlcsh:Zoology[ SCCO.NEUR ] Cognitive science/NeurosciencemedicineMedical physicslcsh:QL1-991NeurosurgerybusinessAwake surgery
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Neuro-radiosurgery treatments: MRI brain tumor seeded image segmentation based on a cellular automata model

2016

Gross Tumor Volume (GTV) segmentation on medical images is an open issue in neuro-radiosurgery. Magnetic Resonance Imaging (MRI) is the most promi-nent modality in radiation therapy for soft-tissue anatomical districts. Gamma Knife stereotactic neuro-radiosurgery is a mini-invasive technique used to deal with inaccessible or insufficiently treated tumors. During the planning phase, the GTV is usually contoured by radiation oncologists using a manual segmentation procedure on MR images. This methodology is certainly time-consuming and op-erator-dependent. Delineation result repeatability, in terms of both intra- and inter-operator reliability, is only obtained by using computer-assisted appr…

medicine.medical_specialtyComputer sciencemedicine.medical_treatment02 engineering and technologyCellular AutomataBrain tumors; Cellular automata; Gamma knife treatments; MR imaging; Semi-automatic segmentationBrain tumorsRadiosurgery030218 nuclear medicine & medical imagingTheoretical Computer Science03 medical and health sciences0302 clinical medicineGamma Knife treatments0202 electrical engineering electronic engineering information engineeringmedicineSegmentationMri brainModality (human–computer interaction)medicine.diagnostic_testSemi-automatic segmentationbusiness.industryINF/01 - INFORMATICAMagnetic resonance imagingImage segmentationCellular automatonRadiation therapyBrain tumor020201 artificial intelligence & image processingGamma Knife treatmentArtificial intelligenceRadiologybusinessMR imaging
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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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A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus

2013

Nowadays the measurement of the nuchal translucency thickness is being used as part of routine ultrasound scanning during the end of the first trimester of pregnancy, for the screening of chromosomal defects, as trisomy 21. Currently, the measurement is being performed manually by physicians. The measurement can take a long time for being accomplished, needs to be performed by highly skilled operators, and is prone to errors. Semi-automated methods requires that the user manually selects a region of the image containing the nuchal translucency, procedure that is somewhat time consuming. In this paper we present a complete system prototype that is able to perform the measurement of the nucha…

medicine.medical_specialtyHighly skilledRoutine ultrasoundSettore INF/01 - Informaticaultrasoundbusiness.industryUltrasoundautomatic measurementSurgeryFirst trimesterNuchal translucencyComing outMedicineComputer visionArtificial intelligencetranslucency thicknebusinessnuchal translucency thickness
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A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment

2013

Fibroids are benign tumors growing in the uterus. Most of fibroids do not require treatment unless they are causing symptoms. Traditional surgery treatments, like myomectomy and hysterectomy, are very invasive therapeutic approaches which not always preserves reproductive potential of the woman. MRgFUS, performed with Insightec ExAblate 2100 equipment, is a new and noninvasive technique for uterine fibroids treatment, not requiring hospitalization and recovery time for patients. An initial assessment of MRgFUS treatment is made by computing the ablated volume of uterine fibroid. In this paper a semi-automatic approach, based on region-growing segmentation technique, is proposed. The impleme…

medicine.medical_specialtyHysterectomyMRgFUSUterine fibroidsComputer scienceExAblatemedicine.medical_treatmentmedicine.diseasefemale genital diseases and pregnancy complicationsSegmentationTreatment evaluationArtificial IntelligenceRegion growingMDSSmedicineRegion-growingReproductive potential3D volume reconstructionUterine fibroidSegmentationSemi automaticRadiologySoftware2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems
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Motor Resonance Mechanisms during Action Imitation in Depression

2018

Objectives Major depressive disorder has been associated with impairments in social cognition. However, studies exploring the processing of social information focused on facial discrimination. The aim of this study was to better characterize the sensorimotor mechanisms underlying motor resonance in depressed patients. Method Twenty-three right-handed patients meeting DSM-IV criteria for unipolar depression were compared to 14 matched healthy controls. In a simple imitation paradigm, the kinematic features of movements in natural condition were compared to those of motions performed after the observation of a moving dot. Reaction time and pointing velocity were considered to evaluate if the …

medicine.medical_specialtyKinematicsMajor depressive disorderStimulus (physiology)Audiology050105 experimental psychology03 medical and health sciences0302 clinical medicineSocial cognitionmedicine0501 psychology and cognitive sciencesSocial informationMotor resonance[SDV.MHEP] Life Sciences [q-bio]/Human health and pathologyPsychomotor retardationbusiness.industry05 social sciencesUnipolar depressionmedicine.diseasePsychiatry and Mental healthMajor depressive disorderNeurology (clinical)medicine.symptombusinessPsychomotor retardationMotor resonance030217 neurology & neurosurgeryAutomatic imitation[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Clinical support in radiation therapy scenarios: MR brain tumor segmentation using an unsupervised fuzzy C-Means clustering technique

2016

medicine.medical_specialtyMR segmentationComputer sciencemedicine.medical_treatmentBiophysicsGeneral Physics and AstronomyFuzzy logicradiation therapy030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineClinical supportmedicineRadiology Nuclear Medicine and imagingCluster analysisSemi-automatic segmentationNeuro-radiosurgery treatmentbusiness.industryPattern recognitionGeneral MedicineFuzzy C-Means clusteringRadiation therapy030220 oncology & carcinogenesisArtificial intelligenceRadiologybusinessBrain tumor segmentationbrain tumorMR imaging
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Community detection-based deep neural network architectures: A fully automated framework based on Likert-scale data

2020

[EN] Deep neural networks (DNNs) have emerged as a state-of-the-art tool in very different research fields due to its adaptive power to the decision space since they do not presuppose any linear relationship between data. Some of the main disadvantages of these trending models are that the choice of the network underlying architecture profoundly influences the performance of the model and that the architecture design requires prior knowledge of the field of study. The use of questionnaires is hugely extended in social/behavioral sciences. The main contribution of this work is to automate the process of a DNN architecture design by using an agglomerative hierarchical algorithm that mimics th…

medicine.medical_specialtyPalliative careCommunity-detection deep neural network (CD-DNN)General Mathematicsmedia_common.quotation_subjectHappinessNetwork scienceNetwork science01 natural sciences010305 fluids & plasmasLikert scalePsychometric scales0103 physical sciencesmedicineCollective wisdom03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edadesQuality (business)010306 general physicsMathematicsmedia_commonArtificial neural networkCommunity detectionbusiness.industryPublic healthDeep learningGeneral EngineeringDeep learningRegression3. Good healthEngineering managementFISICA APLICADAArtificial intelligenceAutomatic architecturebusinessMATEMATICA APLICADA
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Survival with Cardiac-Resynchronization Therapy in Mild Heart Failure

2014

BACKGROUND The Multicenter Automatic Defibrillator Implantation Trial with Cardiac Resynchronization Therapy (MADIT-CRT) showed that early intervention with cardiac-resynchronization therapy with a defibrillator (CRT-D) in patients with an electrocardiographic pattern showing left bundle-branch block was associated with a significant reduction in heart-failure events over a median follow-up of 2.4 years, as compared with defibrillator therapy alone. METHODS We evaluated the effect of CRT-D on long-term survival in the MADIT-CRT population. Post-trial follow-up over a median period of 5.6 years was assessed among all 1691 surviving patients (phase 1) and subsequently among 854 patients who w…

medicine.medical_specialtyeducation.field_of_studybusiness.industryProportional hazards modelmedicine.medical_treatmentHazard ratioPopulationCardiomyopathyCardiac resynchronization therapy11 Medical And Health SciencesGeneral Medicinemedicine.diseaseQRS complexGeneral & Internal MedicineHeart failureInternal medicineCardiologyMedicineMedical emergencybusinesseducationMulticenter Automatic Defibrillator Implantation TrialNew England Journal of Medicine
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On automatic algorithm configuration of vehicle routing problem solvers

2019

Many of the algorithms for solving vehicle routing problems expose parameters that strongly influence the quality of obtained solutions and the performance of the algorithm. Finding good values for these parameters is a tedious task that requires experimentation and experience. Therefore, methods that automate the process of algorithm configuration have received growing attention. In this paper, we present a comprehensive study to critically evaluate and compare the capabilities and suitability of seven state-of-the-art methods in configuring vehicle routing metaheuristics. The configuration target is the solution quality of eight metaheuristics solving two vehicle routing problem variants.…

metaheuristicsreititysMeta-optimizationComputer scienceProcess (computing)meta-optimizationComputational intelligenceSolverConfiguratoroptimointiComputer engineeringmetaheuristiikkaalgoritmitautomaatiojärjestelmätVehicle routing problemTheory of computationajoneuvotvehicle routing problemautomatic algorithm configurationautomaattiohjausMetaheuristicJournal on Vehicle Routing Algorithms
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