Transfer learning-based classification comparison of stroke

RAJ Alhatemi, S Savaş - Computer Science, 2022 - dergipark.org.tr
One type of brain disease that significantly harms people's lives and health is stroke. The
diagnosis and management of strokes both heavily rely on the quantitative analysis of brain …

[PDF][PDF] Deep transfer learning application for automated ischemic classification in posterior fossa CT images

AAM Suberi, WNW Zakaria… - International …, 2019 - pdfs.semanticscholar.org
Computed Tomography (CT) imaging is one of the conventional tools used to diagnose
ischemic in Posterior Fossa (PF). Radiologist commonly diagnoses ischemic in PF through …

[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] Deep learning–based brain computed tomography image classification with hyperparameter optimization through transfer learning for stroke

YT Chen, YL Chen, YY Chen, YT Huang, HF Wong… - Diagnostics, 2022 - mdpi.com
Brain computed tomography (CT) is commonly used for evaluating the cerebral condition,
but immediately and accurately interpreting emergent brain CT images is tedious, even for …

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 …

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 …

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 …

Brain Stroke Classification using One Dimensional Convolutional Neural Network

NR Kifli, H Hidayat, FP Sukoco… - 2022 IEEE Asia …, 2022 - ieeexplore.ieee.org
Advances in technology have now developed into various fields, one of which is the health
sector. With the support of this technology, it can help the work of health workers in dealing …

Ischemia and Hemorrhage detection in CT images with Hyper parameter optimization of classification models and Improved UNet Segmentation Model

M Okuyar, AF Kamanlı - Sakarya University Journal of …, 2023 - saucis.sakarya.edu.tr
Deep learning is a powerful technique that has been applied to the task of stroke detection
using medical imaging. Stroke is a medical condition that occurs when the blood supply to …

Towards effective classification of brain hemorrhagic and ischemic stroke using CNN

A Gautam, B Raman - Biomedical Signal Processing and Control, 2021 - Elsevier
Brain stroke is one of the most leading causes of worldwide death and requires proper
medical treatment. Therefore, in this paper, our aim is to classify brain computed tomography …