Review of deep learning approaches for the segmentation of multiple sclerosis lesions on brain MRI

C Zeng, L Gu, Z Liu, S Zhao - Frontiers in Neuroinformatics, 2020 - frontiersin.org
In recent years, there have been multiple works of literature reviewing methods for
automatically segmenting multiple sclerosis (MS) lesions. However, there is no literature …

Commercial volumetric MRI reporting tools in multiple sclerosis: a systematic review of the evidence

Z Mendelsohn, HG Pemberton, J Gray, O Goodkin… - Neuroradiology, 2023 - Springer
Purpose MRI is integral to the diagnosis of multiple sclerosis (MS) and is important for
clinical prognostication. Quantitative volumetric reporting tools (QReports) can improve the …

A hybrid fuzzy brain-storm optimization algorithm for the classification of brain tumor MRI images

C Narmatha, SM Eljack, AARM Tuka… - Journal of ambient …, 2020 - Springer
Brain tumor is the most severe nervous system disorder and causes significant damage to
health and leads to death. Glioma was a primary intracranial tumor with the most elevated …

Intrusion detection in networks using crow search optimization algorithm with adaptive neuro-fuzzy inference system

S Manimurugan, A Majdi, M Mohmmed… - Microprocessors and …, 2020 - Elsevier
Intrusion detection system has become the fundamental part for the network security and
essential for network security because of the expansion of attacks which causes many …

BIANCA‐MS: An optimized tool for automated multiple sclerosis lesion segmentation

G Gentile, M Jenkinson, L Griffanti… - Human Brain …, 2023 - Wiley Online Library
In this work we present BIANCA‐MS, a novel tool for brain white matter lesion segmentation
in multiple sclerosis (MS), able to generalize across both the wide spectrum of MRI …

FFUNet: A novel feature fusion makes strong decoder for medical image segmentation

J Xie, R Zhu, Z Wu, J Ouyang - IET signal processing, 2022 - Wiley Online Library
Convolutional neural networks (CNNs) have strong ability to extract local features, but it is
slightly lacking in extracting global contexts. In contrast, transformers are good at long …

A survey of deep learning methods for multiple sclerosis identification using brain MRI images

M Sah, C Direkoglu - Neural Computing and Applications, 2022 - Springer
Multiple sclerosis (MS) is one of the most common inflammatory neurological diseases in
young adults. There are three types of MS:(1) In relapsing remitting MS (RRMS), people …

Certain Investigations on IoT system for COVID-19

S Jaafari, A Alhasani, SM Almutairi - … Conference on Computing …, 2020 - ieeexplore.ieee.org
Corona Viruses are a group of viruses that can cause diseases such as colds, severe acute
respiratory syndrome (SARS) and the Middle East Respiratory Syndrome (MERS). A new …

Automotive domain controller

D Wang, S Ganesan - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Today, every electronic control system in the car, such as Instrument Cluster, Infotainment,
Anti-lock braking system, Engine Management System, Transmission Control Unit, and Body …

IoT based empowerment by smart health monitoring, smart education and smart jobs

S Eeshwaroju, P Jakkula… - … conference on computing …, 2020 - ieeexplore.ieee.org
This paper describes the idea and overview of enhancing the empowerment using internet
of Things (IoT) via three main pillars of the society ie, health, education and wealth …