Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging
A Danelakis, T Theoharis, DA Verganelakis - … Medical Imaging and …, 2018 - Elsevier
Multiple sclerosis (MS) is a chronic disease. It affects the central nervous system and its
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
[HTML][HTML] Multiple sclerosis lesion detection in multimodal MRI using simple clustering-based segmentation and classification
Background Multiple sclerosis (MS) is an immune-mediated inflammatory disease that
attacks myelinated axons in the central nervous system, destroying myelin and axons to …
attacks myelinated axons in the central nervous system, destroying myelin and axons to …
A Bibliography of multiple sclerosis lesions detection methods using brain MRIs
Introduction: Multiple Sclerosis (MS) is a chronic disease that affects millions of people
across the globe. MS can critically affect different organs of the central nervous system such …
across the globe. MS can critically affect different organs of the central nervous system such …
Tsallis-entropy segmentation through MRF and Alzheimer anatomic reference for brain magnetic resonance parcellation
Quantifying the intracranial tissue volume changes in magnetic resonance imaging (MRI)
assists specialists to analyze the effects of natural or pathological changes. Since these …
assists specialists to analyze the effects of natural or pathological changes. Since these …
[HTML][HTML] Validation of a semi-automated method to quantify lesion volume changes in multiple sclerosis on 2D proton-density-weighted scans based on image …
RM Mattiesing, S Stel, AS Mangroe, I Brouwer… - Neuroimage …, 2024 - Elsevier
Background The detection and quantification of changes in white matter lesions in the brain
is important to monitor treatment effects in patients with multiple sclerosis (MS). Existing …
is important to monitor treatment effects in patients with multiple sclerosis (MS). Existing …
Computer-based segmentation, change detection and quantification for lesions in multiple sclerosis
E Goceri, C Songül - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Multiple Sclerosis (MS) is a neurological, progressive widespread disease whose diagnosis,
treatment and monitoring have vital importance. However, manual method based on visual …
treatment and monitoring have vital importance. However, manual method based on visual …
[HTML][HTML] Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, binarization, mathematical morphology, and 3D …
ALC de Arruda, DA Vital, FC Kitamura… - Research on Biomedical …, 2020 - Springer
Introduction Magnetic resonance imaging (MRI) is the most used medical modality for
diagnosis and monitoring of multiple sclerosis (MS). A segmentation process is an important …
diagnosis and monitoring of multiple sclerosis (MS). A segmentation process is an important …
Segmentação por entropia de Tsallis através de MRF para o parcelamento de ressonância magnética cerebral
M Azimbagirad - 2019 - teses.usp.br
A quantificação das alterações do volume do tecido intracraniano na ressonância
magnética (RM) auxilia os especialistas a analisar os efeitos das alterações naturais ou …
magnética (RM) auxilia os especialistas a analisar os efeitos das alterações naturais ou …
[PDF][PDF] MEHRAN AZIMBAGIRAD
M Cerebral - 2019 - pdfs.semanticscholar.org
Abstract AZIMBAGIRAD, M. Tsallis-Entropy Segmentation through MRF for Brain Magnetic
Resonance Parcellation. 2019. 49 f. Thesis (Ph. D.-Postgraduate Program in Physics …
Resonance Parcellation. 2019. 49 f. Thesis (Ph. D.-Postgraduate Program in Physics …
Longitudinal Lesion Tracking in Magnetic Resonance Images
V Kotari - 2017 - search.proquest.com
T 2-lesion volume on magnetic resonance images is one of the surrogate markers that is
routinely used for monitoring Multiple Sclerosis disease progression. Studies suggest that in …
routinely used for monitoring Multiple Sclerosis disease progression. Studies suggest that in …
