[HTML][HTML] Unsupervised machine learning detection of iceberg populations within sea ice from dual-polarisation SAR imagery

B Evans, A Faul, A Fleming, DG Vaughan… - Remote Sensing of …, 2023 - Elsevier
Accurate quantification of iceberg populations is essential to inform estimates of Southern
Ocean freshwater and heat balances as well as shipping hazards. The automated …

An effective method for computerized prediction and segmentation of multiple sclerosis lesions in brain MRI

S Roy, D Bhattacharyya, SK Bandyopadhyay… - Computer methods and …, 2017 - Elsevier
Background and objectives Multiple sclerosis is one of the major diseases and the
progressive MS lesion formation often leads to cognitive decline and physical disability. A …

[PDF][PDF] Multiple sclerosis segmentation in brain MR images using modified histon based fast fuzzy C-means

MY Bhanumurthy, K Anne - International Journal of Applied …, 2015 - academia.edu
Multiple spectral magnetic resonances image (MRI) is a kind of scanning device that works
using radio waves and magnetic field. Performing segmentation in medical images is more …

Improved operator agreement and efficiency using the minimum area contour change method for delineation of hyperintense multiple sclerosis lesions on FLAIR MRI

DS Wack, MG Dwyer, N Bergsland, D Ramasamy… - BMC Medical …, 2013 - Springer
Background Activity of disease in patients with multiple sclerosis (MS) is monitored by
detecting and delineating hyper-intense lesions on MRI scans. The Minimum Area Contour …

[PDF][PDF] Multiple Sclerosis lesion segmentation using Active Contours model and adaptive outlier detection method.

F Derraz, A Pinti, L Peyrodie, M Boussahla, H Toumi… - IWBBIO, 2014 - Citeseer
The segmentation of Multiple Sclerosis (MS) lesions on Magnetic Resonance Imaging (MRI)
has become a crucial criterion for diagnosis and predicting prognosis in early disease …

Segmentação Automática de Lesões de Esclerose Múltipla em Imagens de Ressonância Magnética

RIP Pinto - 2017 - repositorio-aberto.up.pt
A esclerose múltipla (EM) é o distúrbio neurológico mais comum diagnosticado em jovens
adultos com causas inexplicáveis e grandes repercussões na vida dos pacientes, incitando …

Enrichment procedures for soft clusters: A statistical test and its applications

RD Phillips, LT Watson, RH Wynne, N Ramakrishnan - 2010 - vtechworks.lib.vt.edu
Clusters, typically mined by modeling locality of attribute spaces, are often evaluated for their
ability to demonstrate 'enrichment'of categorical features. A cluster enrichment procedure …

Level set evolution with intensity prior knowledge for multiple sclerosis lesion segmentation

Z Gong, W Guo, Z Zhu, J Guo, W Li, G Zhang - Digital Medicine, 2019 - journals.lww.com
Results: To compare the performance of our method with other state-of-the-art methods, we
evaluated the methods with 25 magnetic resonance imaging datasets of MS patients. The …

[PDF][PDF] International Journal of Radiology

L Moraru, S Moldovanu, CD Obreja - 2015 - researchgate.net
ABSTRACT AIM: We carry out a study on image quality methods, organize them in a logical
approach, provide the mathematical framework, and finally discuss their performance …

Enhanced representation & learning of magnetic resonance signatures in multiple sclerosis

Y Karpate - 2015 - theses.hal.science
Multiple Sclerosis (MS) is an acquired inflammatory disease, which causes disabilities in
young adults and it is common in northern hemisphere. This PhD work focuses on …