Parcourir par sujet "image analysis"
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The Impact of Primary Progressive Aphasia on Picture Naming and General Language Ability
(2021)Background: Primary progressive aphasia (PPA) is a clinical syndrome that is characterized by progressive deterioration of language while other cognitive domains remain relatively intact. The extent to which print exposure ... -
An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management
(2021)Electronic health record (EHR) systems improve health care services by allowing the combination of health data with clinical decision support features and clinical image analyses. This study presents a modular and distributed ... -
Intracranial Atherosclerotic Plaque as a Potential Cause of Embolic Stroke of Undetermined Source
(2021)Background: Previous studies investigated the potential mechanism of embolic stroke of undetermined source (ESUS) from extracranial artery plaque, but there has been no study other than a case report on high-risk intracranial ... -
Knee capsule anatomy: An mr imaging and cadaveric study
(2021)This research focuses on the anatomical insertion of the synovial capsule around the knee. The attachments of the capsule were measured in 50 knee MR imaging studies with large intraarticular effusion. Corresponding ... -
Look-behind fully convolutional neural network for computer-aided endoscopy
(2019)In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ... -
Mapping evapotranspiration coefficients in a temperate maritime climate using the metric model and landsat TM
(2017)The applicability of a land surface temperature (LST)-evapotranspiration (ET) regression model to estimate ET fraction (ETrF) was tested in the temperate maritime climate of Central Ireland. In this study, the Mapping ET ... -
Maxillary sinus inflammatory disease: Ultrasound compared to computed tomography
(1997)Fifty-six patients (age range, 15-79 yr, average, 37.0±18.5 yr), with a clinical and/or radiological diagnosis of acute maxillary sinusitis, were prospectively studied with ultrasound (US) and computed tomography (CT). The ... -
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Morel-lavallée lesions of the knee: MRI findings compared with cadaveric study findings
(2018)OBJECTIVE. The purpose of this study is to describe the MRI findings and treatment decisions and outcome for Morel-Lavallée lesions (MLLs) of the knee and to investigate whether evidence exists to support an increased ... -
Morphological study of muscular tissue collagen of wild and reared Cornu aspersum (Muller, 1774)
(2013)Muscular tissue collagen fibrils' diameter and period of reared and wild snails (Cornu aspersum) were measured in order to investigate the role of nutrition on the collagen. Wild adult individuals were collected from Crete ... -
Multi-parametric MRI lesion heterogeneity biomarkers for breast cancer diagnosis
(2020)Purpose: To identify intra-lesion imaging heterogeneity biomarkers in multi-parametric Magnetic Resonance Imaging (mpMRI) for breast lesion diagnosis. Methods: Dynamic Contrast Enhanced (DCE) and Diffusion Weighted Imaging ... -
Multimodal retinal imaging in a case of an unsuccessful suicide attempt with sildenafil
(2018)[No abstract available] -
Neuroimaging methods in epilepsy of temporal origin
(2019)Background: Temporal Lobe Epilepsy (TLE) comprises the most common form of symptomatic refractory focal epilepsy in adults. Accurate lateralization and localization of the epileptogenic focus are a significant prerequisite ... -
Parallel simulations for QUAntifying RElaxation magnetic resonance constants (SQUAREMR): An example towards accurate MOLLI T1 measurements
(2015)Background: T1 mapping is widely used today in CMR, however, it underestimates true T1 values and its measurement error is influenced by several acquisition parameters. The purpose of this study was the extraction of ... -
Pose recognition using convolutional neural networks on omni-directional images
(2018)Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image ... -
Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT
(2021)In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and prognostic probability of a disease or clinical outcome for their patients. For patients with suspected or known cardiovascular ... -
Presence of cathelicidin-1 in milk as an indicator of the severity of mammary infection in ewes
(2021)Aims: The importance of cathelicidin-1 as an indicator of the severity of mammary infection in ewes. Background. Mastitis is an important disease of sheep, affecting their health and welfare. Objective: The association of ... -
Procedural recommendations of cardiac PET/ CT imaging: standardization in inflammatory-, infective-, infiltrative-, and innervation- (4Is) related cardiovascular diseases: a joint collaboration of the EACVI and the EANM: summary
(2021)With this summarized document we share the standard for positron emission tomography (PET)/(diagnostic)computed tomography (CT) imaging procedures in cardiovascular diseases that are inflammatory, infective, infiltrative, ... -
Procedural recommendations of cardiac PET/CT imaging: standardization in inflammatory-, infective-, infiltrative-, and innervation (4Is)-related cardiovascular diseases: a joint collaboration of the EACVI and the EANM
(2021)With this document, we provide a standard for PET/(diagnostic) CT imaging procedures in cardiovascular diseases that are inflammatory, infective, infiltrative, or associated with dysfunctional innervation (4Is). This ... -
Reproducibility of apparent diffusion coefficient measurements evaluated with different workstations
(2018)Aim To evaluate apparent diffusion coefficient (ADC) measurements of breast lesions on different computer platforms to address post-processing influences on ADC measurement reproducibility. Materials and methods One hundred ...