Search results for "image"

showing 10 items of 6818 documents

Euclid preparation : XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

2022

We present a machine learning framework to simulate realistic galaxies for the Euclid Survey, producing more complex and realistic galaxies than the analytical simulations currently used in Euclid. The proposed method combines a control on galaxy shape parameters offered by analytic models with realistic surface brightness distributions learned from real Hubble Space Telescope observations by deep generative models. We simulate a galaxy field of 0.4 deg2 as it will be seen by the Euclid visible imager VIS, and we show that galaxy structural parameters are recovered to an accuracy similar to that for pure analytic Sérsic profiles. Based on these simulations, we estimate that the Euclid Wide …

galaksijoukotgalaksitkoneoppiminenimage processing [techniques]surveysstructure [galaxies]Astrophysics::Cosmology and Extragalactic AstrophysicskosmologiaAstrophysics::Galaxy Astrophysicsevolution [galaxies]observations [cosmology]tähtitiede
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A fully automatic method for biological target volume segmentation of brain metastases

2016

Leksell Gamma Knife is a mini-invasive technique to obtain a complete destruction of cerebral lesions delivering a single high dose radiation beam. Positron Emission Tomography (PET) imaging is increasingly utilized for radiation treatment planning. Nevertheless, lesion volume delineation in PET datasets is challenging because of the low spatial resolution and high noise level of PET images. Nowadays, the biological target volume (BTV) is manually contoured on PET studies. This procedure is time expensive and operator-dependent. In this article, a fully automatic algorithm for the BTV delineation based on random walks (RW) on graphs is proposed. The results are compared with the outcomes of…

gamma knifePET imagingcerebral tumors segmentation030218 nuclear medicine & medical imagingrandom walk03 medical and health sciences0302 clinical medicinemedicineSegmentationElectrical and Electronic EngineeringRadiation treatment planningCluster analysisImage resolution1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryElectronic Optical and Magnetic Materialbiological target volumePattern recognitionThresholdingElectronic Optical and Magnetic MaterialsRegion growingPositron emission tomography030220 oncology & carcinogenesisbiological target volume cerebral tumors segmentation gamma knife PET imaging random walkComputer Vision and Pattern RecognitionArtificial intelligenceNuclear medicinebusinessSoftwareVolume (compression)International Journal of Imaging Systems and Technology
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Dijon, ville d'art et capitale de la gastronomie. L'invention d'une image urbaine (1919-1935)

2014

International audience; Maire de Dijon de 1919 à 1935, Gaston-Gérard marque profondément la scène municipale locale. Dans une politique qui vise à dynamiser le développement de la ville, le maire de Dijon se distingue, de bien de ses pairs, par la place essentielle qu'il accorde à l'intervention de la ville dans les domaines culturels. Le discours met en scène trois registres complémentaires qui fondent la légitimité de cette action : le rayonnement de la ville ; le renouveau régionaliste et la démocratisation des arts. La création de la Foire gastronomique, en 1921, participe de cette nouvelle image urbaine : « Dijon, ville d’art et capitale de la gastronomie ».

gastronomie[ SHS.HIST ] Humanities and Social Sciences/History[SHS.HIST] Humanities and Social Sciences/Historydémocratisation culturelleimage urbaine[SHS.HIST]Humanities and Social Sciences/Historyhistoire culturelle
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An exploratory study of gazing behavior during live performance

2009

It is known that the visual information given by performers during a performance works as a useful channel of communication to the audience. In my previous studies, many performers referred to the importance of gazing behavior or eye contact. The purpose of this research is to explore the role of gaze during live performance by measuring the timing and direction of gazing. The hypotheses are as follows: [1] Gazing behavior depends on the musical structure. [2] Gazing behavior is used for the communication between performers which is necessary during performance. [3] Performers set their gazing direction in order to contribute to the audience’s understanding of the music. This research was e…

gazing behaviourperformance and communicationInformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g.HCI)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
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AUTOMATIC RETINA EXUDATES SEGMENTATION WITHOUT A MANUALLY LABELLED TRAINING SET

2011

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, two new methods for the detection of exudates are presented. The methods do not require a lesion training set so the need to ground-truth data is avoided with significant time savings and independence from human error. We evaluate our algorithm with a new publicly available dataset from various ethnic groups and levels of DME. Also, we compare our results with two recent exudate segmentation algorithms on the same dataset. In all of …

genetic structures02 engineering and technologyFundus (eye)030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingSegmentationComputer visionRetinabusiness.industrySupervised learningDiabetic retinopathyImage segmentationmedicine.diseaseeye diseasesmedicine.anatomical_structure[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Computer-aided diagnosis[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processingArtificial intelligencebusiness
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Schematic eye models to mimic the behavior of the accommodating human eye

2018

A simplified version of the human eye is known as schematic eye model. Since the first attempts in the middle of the 19th century, numerous approaches describing new schematic eye models have been introduced. Some of them are able to describe the accommodation ability of the human eye. Accommodative schematic eyes could be of great interest since they are able to explain the functionality of the human eye and they can be easily used for different research purposes. Some of these include the design and testing of multifocal ophthalmic solutions, evaluation of the effect of optical aberrations on the retinal image quality, and study of the optical performance of the eye at different distances…

genetic structuresComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSchematic eyeModels Biological01 natural sciencesCornea010309 optics03 medical and health sciencesOcular physiology0302 clinical medicine0103 physical sciencesmedicineHumansbusiness.industryAccommodation OcularSchematicSurgical proceduresÒpticaRefractive ErrorsSensory SystemsRetinal imageeye diseasesOphthalmologymedicine.anatomical_structureIntraocular lenses030221 ophthalmology & optometryOptometrySurgeryHuman eyesense organsbusinessAccommodationUlls
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Classifying DME vs Normal SD-OCT volumes: A review

2016

International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this comm…

genetic structuresComputer scienceDiabetic macular edemaEarly detection[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMachine learningcomputer.software_genre01 natural sciences010309 optics03 medical and health sciences0302 clinical medicinebenchmark0103 physical sciencesmedicine[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRetinaBlindnessbusiness.industryMachine Learning (ML)medicine.diseaseeye diseasesSpectral Domain OCT (SD-OCT)medicine.anatomical_structure030221 ophthalmology & optometryBenchmark (computing)Artificial intelligenceData miningsense organsDiabetic Macular Edema (DME)businesscomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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When virtual and real worlds coexist: Visualization and visual system affect spatial performance in augmented reality

2021

New visualization approaches are being actively developed aiming to mitigate the effect of vergence-accommodation conflict in stereoscopic augmented reality; however, high interindividual variability in spatial performance makes it difficult to predict user gain. To address this issue, we investigated the effects of consistent and inconsistent binocular and focus cues on perceptual matching in the stereoscopic environment of augmented reality using a head-mounted display that was driven in multifocal and single focal plane modes. Participants matched the distance of a real object with images projected at three viewing distances, concordant with the display focal planes when driven in the mu…

genetic structuresComputer scienceperceptual matchingmedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONStereoscopydepth cuesArticlelaw.inventionlawPerceptionHumansComputer visionmedia_commonAugmented Realitybusiness.industryAccommodation OcularEmmetropiaSensory SystemsVisualizationOphthalmologySpatial relationhead-mounted displaybinocular and accommodative disordersCardinal pointAugmented realityArtificial intelligenceCuesFocus (optics)Depth perceptionbusinessJournal of Vision
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Classification of SD-OCT Volumes with LBP: Application to DME Detection

2015

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Our method is based on Local Binary Patterns (LBP) features to describe the texture of Optical Coherence Tomography (OCT) images and we compare different LBP features extraction approaches to compute a single signature for the whole OCT volume. Experimental results with two datasets of respectively 32 and 30 OCT volumes show that regardless of using low or high level representations, features derived from LBP texture have highly discriminative power. Moreover, the experimen…

genetic structuresLocal binary patternsComputer scienceDiabetic macular edemaSpectral domain02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineOptical coherence tomographyDiscriminative modelLBP0202 electrical engineering electronic engineering information engineeringmedicineDMEComputer vision[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingmedicine.diagnostic_testbusiness.industryeye diseasesDiabetic Macular EdemaOCT020201 artificial intelligence & image processingArtificial intelligencesense organsOptical Coherence Tomographybusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection

2016

International audience; This paper addresses the problem of automatic classification of Spectral Domain OCT (SD-OCT) data for automatic identification of patients with Diabetic Macular Edema (DME) versus normal subjects. Optical Coherence Tomography (OCT) has been a valuable diagnostic tool for DME, which is among the most common causes of irreversible vision loss in individuals with diabetes. Here, a classification framework with five distinctive steps is proposed and we present an extensive study of each step. Our method considers combination of various pre-processings in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. Using linear and non-linear cl…

genetic structures[INFO.INFO-IM] Computer Science [cs]/Medical Imaging[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Segmentationlcsh:OphthalmologySpeckleLBPDiagnosisPrevalencePreprocessorComputer visionSegmentationmedicine.diagnostic_test[ INFO.INFO-IM ] Computer Science [cs]/Medical ImagingExperimental validationDiabetic Macular Edema[ SDV.MHEP.OS ] Life Sciences [q-bio]/Human health and pathology/Sensory OrgansOptical Coherence Tomography[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingResearch ArticleArticle SubjectLocal binary patterns03 medical and health sciencesSpeckle patternOptical coherence tomography[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyMedical imagingmedicineDME[INFO.INFO-IM]Computer Science [cs]/Medical ImagingCoherence (signal processing)Texture[SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory OrgansRetinopathy[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Pattern recognitioneye diseasesOphthalmologyOCTlcsh:RE1-994030221 ophthalmology & optometryImagesArtificial intelligencebusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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