The Role of Artificial Intelligence in Diagnosing Heart Disease in Humans: A Review
TH Yousiaf, MSH Al-Tamimi - Journal of Applied Engineering …, 2023 - journal.yrpipku.com
The electrical activity of the heart and the electrocardiogram (ECG) signal are fundamentally
related. In the study that has been published, the ECG signal has been examined and used …
related. In the study that has been published, the ECG signal has been examined and used …
Modified local ternary patterns technique for brain tumour segmentation and volume estimation from MRI multi-sequence scans with GPU CUDA machine
P Sriramakrishnan, T Kalaiselvi… - Biocybernetics and …, 2019 - Elsevier
The proposed work develops a rapid and automatic method for brain tumour detection and
segmentation using multi-sequence magnetic resonance imaging (MRI) datasets available …
segmentation using multi-sequence magnetic resonance imaging (MRI) datasets available …
ERCNN-DRM: an efficient regularized convolutional neural network with a dimensionality reduction module for the classification of brain tumour in magnetic …
Sažetak Brain tumour is a severe disease that may lead to death if unrecognized and
untreated. Brain tumor identification and segmentation is a complex and task in medical …
untreated. Brain tumor identification and segmentation is a complex and task in medical …
An Exhaustive Survey of Deep Learning Techniques in ECG Signals
M Al-Tamimi, TH Yousif - Ibn AL-Haitham Journal For Pure …, 2024 - jih.uobaghdad.edu.iq
The electrocardiogram (ECG) is a widely utilized signal in the prediction of Cardiovascular
Diseases (CVDs). ECG signals have the ability to detect the heart's unusual rhythmic …
Diseases (CVDs). ECG signals have the ability to detect the heart's unusual rhythmic …
[HTML][HTML] A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques
RH Nayyef, MSH Al-Tamimi - International Journal of …, 2022 - journals.semnan.ac.ir
It is crucial to remember that the brain is a part of the body responsible for a wide range of
sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain …
sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain …
[PDF][PDF] Abnormality detection with deep learning
R Ramesh - 2018 - eprints.qut.edu.au
Thesis Template Page 1 ABNORMALITY DETECTION WITH DEEP LEARNING Rohit
Ramesh MEng Master Thesis Submitted in Fulfilment of the Requirements for the Degree of …
Ramesh MEng Master Thesis Submitted in Fulfilment of the Requirements for the Degree of …
[PDF][PDF] DEEP LEARNING TECHNIQUES FOR SKULL STRIPPING OF BRAIN MR IMAGES
RHNMSH Al Tamimi - iotpe.com
The subject matter: this article analyzes and designs a system based on deep learning to
strip the human Skull into three views. The goal was to design a system that separates the …
strip the human Skull into three views. The goal was to design a system that separates the …