Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review

M Yanzhen, C Song, L Wanping, Y Zufang… - Frontiers in …, 2024 - frontiersin.org
Introduction Brain medical image segmentation is a critical task in medical image
processing, playing a significant role in the prediction and diagnosis of diseases such as …

Multiple sclerosis lesion segmentation-a survey of supervised CNN-based methods

H Zhang, I Oguz - Brainlesion: Glioma, Multiple Sclerosis, Stroke and …, 2021 - Springer
Lesion segmentation is a core task for quantitative analysis of MRI scans of Multiple
Sclerosis patients. The recent success of deep learning techniques in a variety of medical …

Low-contrast lesion segmentation in advanced MRI experiments by time-domain Ricker-type wavelets and fuzzy 2-means

O Alpar, R Dolezal, P Ryska, O Krejcar - Applied Intelligence, 2022 - Springer
Automated suspicious region segmentation has become a crucial need for the experts
dealing with numerous images containing contrast-based lesions in MRI. Not all solutions …

Distribution-based imaging for multiple sclerosis lesion segmentation using specialized fuzzy 2-means powered by Nakagami transmutations

O Alpar, O Krejcar, R Dolezal - Applied Soft Computing, 2021 - Elsevier
Distribution-based imaging is a promising methodology mainly to differentiate suspicious
regions from surrounding tissues by applying a distribution to the images vertically or …

Whole Tumor Area Estimation in Incremental Brain MRI Using Dilation and Erosion-Based Binary Morphing

O Alpar, O Krejcar - International Work-Conference on Bioinformatics and …, 2023 - Springer
Magnetic resonance imaging (MRI) technology is rapidly advancing and three-dimensional
(3D) scanners started to play an important role on diagnosis. However, not every medical …

[PDF][PDF] Medical Imaging and Applications Master Thesis, August 2020

S Tascon-Morales, M Treiber, S Hoffmann, J Gregori - sergiotasconmorales.github.io
Magnetic resonance imaging (MRI) is the primary clinical tool to examine inflammatory brain
lesions in Multiple Sclerosis (MS). Disease progression and inflammatory activities are …

Improving Automated Quantification of MS Injuries with Deep Learning

H Zhang - 2021 - search.proquest.com
Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system which
affects nearly 1 million people in the US. Magnetic resonance imaging (MRI), as the most …