Multi-feature analysis for automated brain stroke classification using weighted Gaussian naïve Bayes classifier

S Jayachitra, A Prasanth - journal of circuits, systems and …, 2021 - World Scientific
In today's world, brain stroke is considered as a life-threatening disease provoked by
undesirable blockage among the arteries feeding the human brain. The timely diagnosis of …

[HTML][HTML] Deep learning-based detection and segmentation of diffusion abnormalities in acute ischemic stroke

CF Liu, J Hsu, X Xu, S Ramachandran… - Communications …, 2021 - nature.com
Background Accessible tools to efficiently detect and segment diffusion abnormalities in
acute strokes are highly anticipated by the clinical and research communities. Methods We …

[HTML][HTML] A deep learning based framework for the registration of three dimensional multi-modal medical images of the head

KT Islam, S Wijewickrema, S O'Leary - Scientific Reports, 2021 - nature.com
Image registration is a fundamental task in image analysis in which the transform that moves
the coordinate system of one image to another is calculated. Registration of multi-modal …

[HTML][HTML] 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 …

Ischemic lesion segmentation using ensemble of multi-scale region aligned CNN

R Karthik, R Menaka, M Hariharan, D Won - Computer Methods and …, 2021 - Elsevier
The first and foremost step in the diagnosis of ischemic stroke is the delineation of the lesion
from radiological images for effective treatment planning. Manual delineation of the lesion by …

Automatic segmentation of the brain stroke lesions from MR flair scans using improved U-net framework

S Khezrpour, H Seyedarabi, SN Razavi… - … Signal Processing and …, 2022 - Elsevier
Background Magnetic resonance imaging (MRI) can reliably diagnose ischemic stroke.
Stroke is an acute vascular illness of the brain that can lead to long-term death and …

METrans: Multi‐encoder transformer for ischemic stroke segmentation

J Wang, S Wang, W Liang - Electronics Letters, 2022 - Wiley Online Library
Ischemic stroke is the most common brain disease. Segmentation of the stroke lesion from a
medical scan is vital to plan the surgical procedure. The purpose of this work is to develop …

MCA-DN: Multi-path convolution leveraged attention deep network for salvageable tissue detection in ischemic stroke from multi-parametric MRI

A Vupputuri, A Gupta, N Ghosh - Computers in Biology and Medicine, 2021 - Elsevier
Background and objective Accurate and timely treatment of ischemic stroke can restore the
blood flow in the affected area and reduce the risk of disability and death. Identification and …

SrSNet: Accurate segmentation of stroke lesions by a two-stage segmentation framework with asymmetry information

T Li, X An, Y Di, C Gui, Y Yan, S Liu, D Ming - Expert Systems with …, 2024 - Elsevier
Ischemic stroke is a common neurological disease with a high mortality rate. Accurate stroke
segmentation is crucial to evaluating patients' disease outcomes. Stroke segmentation …

Intracranial hemorrhage subtype classification using learned fully connected separable convolutional network

S Korra, R Mamidi, NR Soora… - Concurrency and …, 2022 - Wiley Online Library
In recent decades, intracranial hemorrhage detection from computed tomography (CT)
scans has gained considerable attention among researchers in the medical community. The …