Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review
Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …
the health and well-being of millions of people worldwide. Structural and functional …
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 …
Efficient artificial intelligence approaches for medical image processing in healthcare: comprehensive review, taxonomy, and analysis
OAMF Alnaggar, BN Jagadale, MAN Saif… - Artificial Intelligence …, 2024 - Springer
In healthcare, medical practitioners employ various imaging techniques such as CT, X-ray,
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
PET, and MRI to diagnose patients, emphasizing the crucial need for early disease detection …
Review of advanced computational approaches on multiple sclerosis segmentation and classification
M Shanmuganathan, S Almutairi… - IET Signal …, 2020 - Wiley Online Library
In this study, a survey of multiple sclerosis (MS) classification and segmentation process is
presented, which is based on magnetic resonance imaging. Knowledge of MS lesions is …
presented, which is based on magnetic resonance imaging. Knowledge of MS lesions is …
[HTML][HTML] Automated MS lesion detection and segmentation in clinical workflow: a systematic review.
F Spagnolo, A Depeursinge, S Schädelin, A Akbulut… - NeuroImage: Clinical, 2023 - Elsevier
Introduction: Over the past few years, the deep learning community has developed and
validated a plethora of tools for lesion detection and segmentation in Multiple Sclerosis …
validated a plethora of tools for lesion detection and segmentation in Multiple Sclerosis …
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 …
Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies
The deep grey matter (DGM) nuclei of the brain play a crucial role in learning, behaviour,
cognition, movement and memory. Although automated segmentation strategies can provide …
cognition, movement and memory. Although automated segmentation strategies can provide …
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 …
Notice of Violation of IEEE Publication Principles: Deep Learning Assisted Image Interactive Framework for Brain Image Segmentation
Y Han, Z Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles" Deep Learning Assisted Image Interactive
Framework for Brain Image Segmentation," by Y. Han and Z. Zhang, in IEEE Access, vol. 8 …
Framework for Brain Image Segmentation," by Y. Han and Z. Zhang, in IEEE Access, vol. 8 …
Machine Learning Approach in Brain Imaging
YV Kistenev, DA Vrazhnov - Advances in Brain Imaging Techniques, 2022 - Springer
Abstract Machine learning is widely used in visual data image analysis, recognition, and
classification. This chapter gives an introduction to this field and describes how machine …
classification. This chapter gives an introduction to this field and describes how machine …