Browsing by Subject "image processing"
Now showing items 1-20 of 26
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Associations between ghrelin and leptin and neural food cue reactivity in a fasted and sated state
(2021)Food cue exposure can trigger eating. Food cue reactivity (FCR) is a conditioned response to food cues and includes physiological responses and activation of reward-related brain areas. FCR can be affected by hunger and ... -
An automated blastomere identification method for the evaluation of day 2 embryos during IVF/ICSI treatments
(2018)Purpose Evaluation of human embryos is one of the most important challenges in vitro fertilization (IVF) programs. The morphology and the morphokinetic parameters of the early cleaving embryo are of critical clinical ... -
Classification of dermatological images using advanced clustering techniques
(2010)Computer vision-based diagnosis systems have been widely used in dermatology, aiming at the early detection of skin cancer and more specifically the recognition of malignant melanoma tumor. This paper proposes a novel ... -
Collagen fibril diameter distribution affects permeability of ligament tissue: A computational study on healthy and injured tissues
(2020)Background and objective In a vascular or hypovascular tissues, elements required for maintaining tissue functions are recruited through diffusion, which is highly related with the permeability of the extracellular matrix ... -
Comparison of iCOR and Rayleigh atmospheric correction methods on Sentinel-3 OLCI images for a shallow eutrophic reservoir
(2022)Remote sensing of inland waters is challenging, but also important, due to the need to monitor the ever-increasing harmful algal blooms (HABs), which have serious effects on water quality. The Ocean and Land Color Instrument ... -
Computer-aided clinical image analysis for non-invasive assessment of tumor thickness in cutaneous melanoma
(2021)Objective: Computerized clinical image analysis is shown to improve diagnostic accuracy for cutaneous melanoma but its effectiveness in preoperative assessment of melanoma thickness has not been studied. The aim of this ... -
Computer-based automated estimation of breast vascularity and correlation with breast cancer in DCE-MRI images
(2017)Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) with gadolinium constitutes one of the most promising protocols for boosting up the sensitivity in breast cancer detection. The aim of this study was twofold: ... -
Deep Endoscopic Visual Measurements
(2019)Robotic endoscopic systems offer a minimally invasive approach to the examination of internal body structures, and their application is rapidly extending to cover the increasing needs for accurate therapeutic interventions. ... -
Deep learning exploration for SPECT MPI polar map images classification in coronary artery disease
(2022)Objective: The exploration and the implementation of a deep learning method using a state-of-the-art convolutional neural network for the classification of polar maps represent myocardial perfusion for the detection of ... -
Deep Learning-Based Automated Diagnosis for Coronary Artery Disease Using SPECT-MPI Images
(2022)(1) Background: Single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) is a long-established estimation methodology for medical diagnosis using image classification illustrating conditions ... -
Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy
(2020)Objective: The main aim of this work is to build a robust Convolutional Neural Network (CNN) algorithm that efficiently and quickly classifies bone scintigraphy images, by determining the presence or absence of prostate ... -
Differential contributions of serotonergic and dopaminergic functional connectivity to the phenomenology of LSD
(2022)Rationale: LSD is the prototypical psychedelic. Despite a clear central role of the 5HT2a receptor in its mechanism of action, the contributions of additional receptors for which it shows affinity and agonist activity ... -
Differentiation between subchondral insufficiency fractures and advanced osteoarthritis of the knee using transfer learning and an ensemble of convolutional neural networks
(2022)Purpose: Subchondral insufficiency fractures (SIF) and advanced osteoarthritis (OA) of the knee are usually seen in conjunction with bone marrow lesions (BMLs) and their differentiation may pose a significant diagnostic ... -
Intelligent visual localization of wireless capsule endoscopes enhanced by color information
(2017)Wireless capsule endoscopy (WCE) is performed with a miniature swallowable endoscope enabling the visualization of the whole gastrointestinal (GI) tract. One of the most challenging problems in WCE is the localization of ... -
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 ... -
Measurement and modeling of microbial growth using timelapse video
(2020)The development of timelapse videos for the investigation of growing microbial colonies has gained increasing interest due to its low cost and complexity implementation. In the present study, a simple experimental setup ... -
Measurement of ultrasonic diaphragmatic motion
(2015)The motion characteristics of the diaphragmatic muscle may provide useful information about normal and abnormal diaphragmatic function and indicate diaphragmatic weakness. The objective of this paper was to introduce a ... -
Novel Cost Function Definition for Minimum-Cost Tractography in MR Diffusion Tensor Imaging
(2020)Magnetic resonance imaging (MRI) is an established clinical technique that measures diffusion-weighted signals, applied primarily in brain studies. Diffusion tensor imaging (DTI) is a technique that uses the diffusion-weighted ... -
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 ...