Browsing NTNU Open by Author "Osadebey, Michael"
Now showing items 1-13 of 13
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Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina; Neuroimaging Initiative, The Alzheimer’s Disease (Journal article; Peer reviewed, 2017)We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality ... -
Blind blur assessment of MRI images using parallel multiscale difference of Gaussian filters
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2018)Background: Rician noise, bias felds and blur are the common distortions that degrade MRI images during acquisition. Blur is unique in comparison to Rician noise and bias felds because it can be introduced into an image ... -
Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation
Osadebey, Michael; Pedersen, Marius; Kalra, Meeta; Waaler, Dag; bouguila, nizar (Journal article; Peer reviewed, 2022) -
Evaluation of color spaces for unsupervised and deep learning skin lesion segmentation
Osadebey, Michael; Pedersen, Marius; Waaler, Dag (Chapter, 2020)The reliability of skin cancer diagnosis is dependent on accurate lesion segmentation. The choice of a color space in most contributions on skin lesion segmentation for melanoma detection are based on qualitative rather ... -
Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2018)Magnetic resonance imaging (MRI) system images are important components in the development of drugs because it can reveal the underlying pathology in diseases. Unfortunately, the processes of image acquisition, storage, ... -
Learning-based segmentation of optic disc in retinal images using clustering trees and local mode filtering
Osadebey, Michael; Pedersen, Marius; Waaler, Dag (Chapter, 2020)Delineation of the optic disc boundary in retinal images is the first step towards the computation of cup-to-disc ratio, an important indicator of ophthalmic pathologies such as glaucoma. This paper proposes the combination ... -
Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2019)Noise-based quality evaluation of MRI images is highly desired in noise-dominant environments. Current noise-based MRI quality evaluation methods have drawbacks which limit their effective performance. Traditional ... -
No-Reference Quality Measure in Brain MRI Images using Binary Operations, Texture and Set Analysis
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2017)The authors propose a new application-specific, post-acquisition quality evaluation method for brain magnetic resonance imaging (MRI) images. The domain of a MRI slice is regarded as universal set. Four feature images; ... -
Plant Leaves Region Segmentation in Cluttered and Occluded Images Using Perceptual Color Space and K-means-Derived Threshold with Set Theory
Osadebey, Michael; Pedersen, Marius; Waaler, Dag (Journal article; Peer reviewed, 2019) -
Simultaneous Artefact-Lesion Extraction for Skin Cancer Diagnosis
Osadebey, Michael; Pedersen, Marius; Waaler, Dag (Chapter, 2021)Presence of clutters, occlusions and dark corner artifacts in dermatoscopy images causes unsupervised and intensity-based image analysis systems to erroneously segment lesion boundaries required for accurate and reliable ... -
Standardized Quality Metric System for Structural Brain Magnetic Resonance Images in Multi-Center Neuroimaging Study
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina; Alzheimer’s Disease Neuroi, the (Journal article; Peer reviewed, 2018)Background Multi-site neuroimaging offer several benefits and poses tough challenges in the drug development process. Although MRI protocol and clinical guidelines developed to address these challenges recommend the use ... -
The spatial statistics of structural magnetic resonance images: application to post-acquisition quality assessment of brain MRI images
Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina; Alzheimer's Disease Neuroi, The (Journal article, 2017)This report describes a new quality evaluation method for structural magnetic resonance images (MRI) of the brain. Pixels in MRI images are regarded as regionalized random variables that exhibit distinct and organized ... -
Three-stage segmentation of lung region from CT images using deep neural networks
Osadebey, Michael; Andersen, Hilde Kjernlie; Waaler, Dag; Fosså, Kristian; Martinsen, Anne Catrine Trægde; Pedersen, Marius (Journal article; Peer reviewed, 2021)