Search results for " intelligence"

showing 10 items of 6677 documents

Validation of Knee KL-classifying Deep Neural Network with Finnish Patient Data

2021

Osteoarthritis (OA) is the most common form of joint disease in the world. The diagnosis of OA is currently made by human experts and suffers from subjectivity, but recently new promising detection algorithms have been developed. We validated the current state-of-the-art KL-classifying neural network model for knee OA using knee X-rays taken from postmenopausal women suffering from knee pain attributable to OA. The performance of the model on the clinical data was considerably lower compared to the previous results on population-based test data. This suggests that the performance of the current grading methods is not yet adequate to be applied in clinical settings. The present results also …

medicine.medical_specialtyeducation.field_of_studyArtificial neural networkbusiness.industryDeep learningPopulationOsteoarthritisPatient datamedicine.diseaseJoint diseasePhysical medicine and rehabilitationKnee painMedicineArtificial intelligencemedicine.symptombusinesseducationTest data
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Emotional intelligence modulates cortisol awakening response and self-reported health in caregivers of people with autism spectrum disorders

2014

Abstract Caring for people with autism spectrum disorders (ASDs) has negative consequences for caregivers’ health. Specifically, caregivers of people with ASDs have been observed to have more somatic symptoms, poorer self-perceived general health, poorer social functioning and altered immune and endocrine systems. Various positive variables including emotional intelligence (EI) have been found to protect health in several populations, but no studies have previously analyzed the effect of EI in caregivers of people with ASDs. The present study aimed to analyze the association of the three components of EI (attention, clarity and repair) with self-reported health and cortisol awakening respon…

medicine.medical_specialtyeducation.field_of_studyCortisol awakening responseOffspringEmotional intelligencePopulationPsychological interventionmedicine.diseaselaw.inventionPsychiatry and Mental healthClinical Psychologylawmental disordersDevelopmental and Educational PsychologymedicineCLARITYAutismPsychiatryeducationPsychologyAssociation (psychology)Clinical psychologyResearch in Autism Spectrum Disorders
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Modelling cardiac mechanics of left ventricular noncompaction

2020

Left ventricular noncompaction (LVNC) can be defined as a cardiomyopathy characterised by a pattern of prominent trabecular structure and deep intertrabecular recesses, that is thought to be caused by an arrest of normal endomyocardial morphogenesis. Using patient-specific computational modelling, we assessed the cardiac mechanics of five patients with LVNC and compared myocardial stress and pump performance to those of healthy controls. Findings shown that patients with LVNC have impaired left ventricular (LV) function, making it possible that the lack of fibre shortening of noncompacted layer can determine poor heart function. Pronounced end-systolic wall stress on left ventricular wall o…

medicine.medical_specialtygenetic structuresBiomedical EngineeringComputational MechanicsCardiomyopathy02 engineering and technology030218 nuclear medicine & medical imaging03 medical and health sciencesWall stress0302 clinical medicinecardiac mechanics finite element analysis Left ventricular noncompaction wall stressInternal medicine0202 electrical engineering electronic engineering information engineeringmedicineRadiology Nuclear Medicine and imagingbusiness.industryfungifood and beveragesmedicine.diseaseComputer Science ApplicationsCardiologyLeft ventricular noncompaction020201 artificial intelligence & image processingsense organsbusinessCardiac mechanics
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Tree Species Identification Using 3D Spectral Data and 3D Convolutional Neural Network

2018

In this study we apply 3D convolutional neural network (CNN) for tree species identification. Study includes the three most common Finnish tree species. Study uses a relatively large high-resolution spectral data set, which contains also a digital surface model for the trees. Data has been gathered using an unmanned aerial vehicle, a framing hyperspectral imager and a regular RGB camera. Achieved classification results are promising by with overall accuracy of 96.2 % for the classification of the validation data set. nonPeerReviewed

medicine.medical_specialtyhahmontunnistus (tietotekniikka)010504 meteorology & atmospheric sciencesComputer scienceUAV0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitmedicine3D-mallinnusSpectral data021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryspektrikuvausHyperspectral imagingPattern recognitionSpectral imagingRGB color modelArtificial intelligencebusinessDigital surfaceTree species3D
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RGB mapping of hemoglobin distribution in skin

2011

An experimental RGB imaging system based on commercial color camera was constructed, and its potential for mapping of hemoglobin distribution in skin was studied. Two types of LEDs (RGB and white “warm” LEDs) were compared as illuminators for acquiring images of vascular and pigmented skin malformations. A novel approach for studies of skin capillary refill by RGB analysis has been proposed and discussed.

medicine.medical_specialtyintegumentary systemmedicine.diagnostic_testComputer sciencebusiness.industryMultispectral imageSkin capillaryCapillary refilllaw.inventionSpectral imagingLED lampOpticslawmedicineRGB color modelComputer visionArtificial intelligencePigmented skinbusinessLight-emitting diode
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2017

The mere presence of a depiction of eyes can elicit a sense of being watched in the perceiver. To this date, the factors affecting the intensity of this sense of being watched, however, have not been investigated. In the present experiment, we tested the impact of two potentially relevant variables: arousal (manipulated using specific musical pieces) and duration of the perceptual episode (manipulated using presentation times of 200 ms and 10 s, respectively). We asked participants to report how intensely they felt being watched while we exposed them to various observation cues ranging from human eyes to surveillance cameras. We found that, on average, reported intensities were higher if pa…

medicine.medical_specialtymedia_common.quotation_subject05 social sciences050109 social psychologyExperimental and Cognitive PsychologyAudiology050105 experimental psychologySensory SystemsArousalOphthalmologyArtificial IntelligenceDuration (music)Perceptionmedicine0501 psychology and cognitive sciencesPsychologyPractical implicationsmedia_commoni-Perception
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Effect of Different Display Types on Vection and Its Interaction With Motion Direction and Field Dependence

2017

Illusory self-motion (vection) can be generated by visual stimulation. The purpose of the present study was to compare behavioral vection measures including intensity ratings, duration, and onset time across different visual display types. Participants were exposed to a pattern of alternating black-and-white horizontal or vertical bars that moved either in vertical or horizontal direction, respectively. Stimuli were presented on four types of displays in randomized order: (a) large field of view dome projection, (b) combination of three computer screens, (c) single computer screen, (d) large field of view flat projection screen. A Computer Rod and Frame Test was used to measure field depen…

medicine.medical_specialtymedia_common.quotation_subjectlcsh:BF1-990Field dependenceExperimental and Cognitive PsychologyperceptionAudiologyArticle050105 experimental psychology03 medical and health sciences0302 clinical medicineArtificial IntelligencePerceptionmedicineMotion direction0501 psychology and cognitive sciencescircular vectionmedia_commonfield dependence or field independence05 social scienceshumanitiesSensory Systemscognitive styleIntensity (physics)Ophthalmologylcsh:PsychologyDuration (music)optic flowillusory self-motionfield of viewPsychologyvisual stimulation030217 neurology & neurosurgeryi-Perception
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Zonal Segmentation of Prostate T2W-MRI using Atrous Convolutional Neural Network

2019

The number of prostate cancer cases is steadily increasing especially with rising number of ageing population. It is reported that 5-year relative survival rate for man with stage 1 prostate cancer is almost 99% hence, early detection will significantly improve treatment planning and increase survival rate. Magnetic resonance imaging (MRI) technique is a common imaging modality for diagnosis of prostate cancer. MRI provide good visualization of soft tissue and enable better lesion detection and staging of prostate cancer. The main challenge of prostate whole gland segmentation is due to blurry boundary of central gland (CG) and peripheral zone (PZ) which lead to differential diagnosis. Sinc…

medicine.medical_specialtymedicine.diagnostic_testbusiness.industryCancerMagnetic resonance imaging02 engineering and technologymedicine.diseaseConvolutional neural network030218 nuclear medicine & medical imaging03 medical and health sciencesProstate cancer0302 clinical medicinemedicine.anatomical_structureProstate0202 electrical engineering electronic engineering information engineeringMedicine020201 artificial intelligence & image processingSegmentationRadiologyStage (cooking)businessSurvival rate2019 IEEE Student Conference on Research and Development (SCOReD)
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Video-Assisted Navigation for Adjustment of Image-Guidance Accuracy to Slight Brain Shift

2015

Background Information supplied by an image-guidance system can be superimposed on the operating microscope oculars or on a screen, generating augmented reality. Recently, the outline of a patient's head and skull, injected in the oculars of a standard operating microscope, has been used to check the registration accuracy of image guidance. Objective To propose the use of the brain surface relief and superficial vessels for real-time intraoperative visualization and image-guidance accuracy and for intraoperative adjustment for brain shift. Methods A commercially available image-guidance system and a standard operating microscope were used. Segmentation of the brain surface and cortical bloo…

medicine.medical_specialtymedicine.diagnostic_testbusiness.industrymedicine.medical_treatmentMagnetic resonance imagingImaging phantomSurgeryVisualizationDigital imagemedicineSurgerySegmentationComputer visionAugmented realityNeurology (clinical)Artificial intelligencebusinessOperating microscopeCraniotomyOperative Neurosurgery
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Analysis and evaluation of periodic physiological organ motion in radiotherapy treatments.

2003

Background and purpose: A system for the detection, measurement and analysis of the periodic physiological organ motion during radiotherapy treatment is proposed and clinically tested in this paper. Material and methods: The procedure is based on the acquisition of fluoroscopic sequences, followed by an automatic detection of the movement using cross-correlations with matched filters. Results: The system generates a probability density function (PDF) of finding a mobile organ in a position at a certain time. The maximum path of the mobile structures can be determined to define the planning target volume (PTV) without ambiguities. Conclusions: Physiological movements can be accurately includ…

medicine.medical_specialtymedicine.medical_treatmentMovementRespiratory SystemPlanning target volumeProbability density functionPatient Care PlanningAutomationOrgan MotionPosition (vector)NeoplasmsMedicineHumansRadiology Nuclear Medicine and imagingComputer visionbusiness.industryMatched filterRespirationHematologySurgeryRadiation therapyOncologyFluoroscopyRadiotherapy treatmentArtificial intelligenceDose Fractionation RadiationRadiotherapy ConformalbusinessRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
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