Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …
problems for people with a detrimental effect on the functioning of the nervous system. In …
Review of deep learning approaches for the segmentation of multiple sclerosis lesions on brain MRI
In recent years, there have been multiple works of literature reviewing methods for
automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature …
automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature …
Multiple sclerosis lesion analysis in brain magnetic resonance images: techniques and clinical applications
Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central
nervous system, characterized by the appearance of focal lesions in the white and gray …
nervous system, characterized by the appearance of focal lesions in the white and gray …
Triplanar U-Net with lesion-wise voting for the segmentation of new lesions on longitudinal MRI studies
S Hitziger, WX Ling, T Fritz, T D'Albis… - Frontiers in …, 2022 - frontiersin.org
We present a deep learning method for the segmentation of new lesions in longitudinal
FLAIR MRI sequences acquired at two different time points. In our approach, the 3D volumes …
FLAIR MRI sequences acquired at two different time points. In our approach, the 3D volumes …
Improving the detection of new lesions in multiple sclerosis with a cascaded 3D fully convolutional neural network approach
Longitudinal magnetic resonance imaging (MRI) has an important role in multiple sclerosis
(MS) diagnosis and follow-up. Specifically, the presence of new lesions on brain MRI scans …
(MS) diagnosis and follow-up. Specifically, the presence of new lesions on brain MRI scans …
Coactseg: Learning from heterogeneous data for new multiple sclerosis lesion segmentation
New lesion segmentation is essential to estimate the disease progression and therapeutic
effects during multiple sclerosis (MS) clinical treatments. However, the expensive data …
effects during multiple sclerosis (MS) clinical treatments. However, the expensive data …
Multiple sclerosis lesion segmentation-a survey of supervised CNN-based methods
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 …
Sclerosis patients. The recent success of deep learning techniques in a variety of medical …
New MS lesion segmentation with deep residual attention gate U-Net utilizing 2D slices of 3D MR images
Multiple sclerosis (MS) is an autoimmune disease that causes lesions in the central nervous
system of humans due to demyelinating axons. Magnetic resonance imaging (MRI) is widely …
system of humans due to demyelinating axons. Magnetic resonance imaging (MRI) is widely …
Deep learning based multiple sclerosis lesion detection utilizing synthetic data generation and soft attention mechanism
OZ Shmueli, C Solomon, N Ben-Eliezer… - Medical Imaging …, 2022 - spiedigitallibrary.org
In this work we focus on identifying healthy brain slices vs brain slices with Multiple sclerosis
(MS) lesions. MS is an autoimmune, demyelinating disease characterized by inflammatory …
(MS) lesions. MS is an autoimmune, demyelinating disease characterized by inflammatory …
[PDF][PDF] ISTANBUL TECHNICAL UNIVERSITY 击GRADUATE SCHOOL
B SARICA - 2023 - polen.itu.edu.tr
Multiple Sclerosis (MS) is a chronic inflammatory, immune-mediated, neurodegenerative,
and demyelinating disease that impacts the Central Nervous System (CNS)[1–3]. In MS, the …
and demyelinating disease that impacts the Central Nervous System (CNS)[1–3]. In MS, the …