Artificial intelligence techniques empowered edge-cloud architecture for brain CT image analysis

FFX Vasconcelos, RM Sarmento… - … Applications of Artificial …, 2020 - Elsevier
Strokes are one of the leading causes of death in the world. Despite the high mortality rate,
chances of recovery are high when an accurate diagnosis is made quickly, and appropriate …

Deep learning IoT system for online stroke detection in skull computed tomography images

CMJM Dourado Jr, SPP Da Silva, RVM da Nobrega… - Computer Networks, 2019 - Elsevier
Cerebral vascular accidents (CVA) affect about 16 million people worldwide annually. CVA,
also know as stroke, is a serious global health problem, and can cause significant physical …

Deep learning-enhanced internet of medical things to analyze brain ct scans of hemorrhagic stroke patients: a new approach

Y Xu, G Holanda, LFF Souza, H Silva… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Stroke is among the first pathologies that kill the most in the world, ranking second in deaths
from illness. Each year, around 16 million people worldwide are victims of this disease, with …

[HTML][HTML] A deep learning approach for detecting stroke from brain CT images using OzNet

O Ozaltin, O Coskun, O Yeniay, A Subasi - Bioengineering, 2022 - mdpi.com
A brain stroke is a life-threatening medical disorder caused by the inadequate blood supply
to the brain. After the stroke, the damaged area of the brain will not operate normally. As a …

Brain stroke detection from computed tomography images using deep learning algorithms

A Diker, A Elen, A Subasi - Applications of artificial intelligence in medical …, 2023 - Elsevier
Stroke is one of the common causes of death worldwide. Stroke is the inability of a focus to
be fed in the brain due to clogged or bleeding of the vessels feeding the brain. Because …

[PDF][PDF] Deep learning-enabled brain stroke classification on computed tomography images

A Tursynova, B Omarov, N Tukenova… - Comput. Mater …, 2023 - cdn.techscience.cn
In the field of stroke imaging, deep learning (DL) has enormous untapped potential. When
clinically significant symptoms of a cerebral stroke are detected, it is crucial to make an …

[HTML][HTML] Automated cerebral infarct detection on computed tomography images based on deep learning

SJ Peng, YW Chen, JY Yang, KW Wang, JZ Tsai - Biomedicines, 2022 - mdpi.com
The limited accuracy of cerebral infarct detection on CT images caused by the low contrast
of CT hinders the desirable application of CT as a first-line diagnostic modality for screening …

Brain stroke detection using convolutional neural network and deep learning models

BR Gaidhani, RR Rajamenakshi… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
For the last few decades, machine learning is used to analyze medical dataset. Recently,
deep learning technology gaining success in many domain including computer vision …

A deep learning system for diagnosing ischemic stroke by applying adaptive transfer learning

SM Jung, TK Whangbo - Journal of Internet Technology, 2020 - jit.ndhu.edu.tw
A stroke is the most common, very dangerous single-organ disease and aggravates social
burden in the aging society. The stroke can be tested through a variety of imaging methods …

EfficientNetB0 for brain stroke classification on computed tomography scan

CH Patel, D Undaviya, H Dave… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
The EfficientNetB0 model is used in this research work to propose an innovative method for
the categorization of brain strokes based on computed tomography (CT) data. The …