Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current …

AA Abdulsahib, MA Mahmoud, MA Mohammed… - … Modeling Analysis in …, 2021 - Springer
Recently, there has been an advancement in the development of innovative computer-aided
techniques for the segmentation and classification of retinal vessels, the application of which …

A comprehensive review on radiomics and deep learning for nasopharyngeal carcinoma imaging

S Li, YQ Deng, ZL Zhu, HL Hua, ZZ Tao - Diagnostics, 2021 - mdpi.com
Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Realizing an effective COVID-19 diagnosis system based on machine learning and IOT in smart hospital environment

KH Abdulkareem, MA Mohammed… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The aim of this study is to propose a model based on machine learning (ML) and Internet of
Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was …

Benchmarking methodology for selection of optimal COVID-19 diagnostic model based on entropy and TOPSIS methods

MA Mohammed, KH Abdulkareem, AS Al-Waisy… - Ieee …, 2020 - ieeexplore.ieee.org
Nowadays, coronavirus (COVID-19) is getting international attention due it considered as a
life-threatened epidemic disease that hard to control the spread of infection around the …

Efficient detection of knee anterior cruciate ligament from magnetic resonance imaging using deep learning approach

M Javed Awan, MS Mohd Rahim, N Salim… - Diagnostics, 2021 - mdpi.com
The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …

Voice pathology detection and classification using convolutional neural network model

MA Mohammed, KH Abdulkareem, SA Mostafa… - Applied Sciences, 2020 - mdpi.com
Voice pathology disorders can be effectively detected using computer-aided voice pathology
classification tools. These tools can diagnose voice pathologies at an early stage and …

COVID-DeepNet: hybrid multimodal deep learning system for improving COVID-19 pneumonia detection in chest X-ray images

AS Al-Waisy, MA Mohammed… - Computers …, 2021 - scholars.cityu.edu.hk
Abstract Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …

Artificial intelligence-based solution for sorting COVID related medical waste streams and supporting data-driven decisions for smart circular economy practice

NM Kumar, MA Mohammed, KH Abdulkareem… - Process Safety and …, 2021 - Elsevier
Waste generation is a continuous process that needs to be managed effectively to ensure
environmental safety and public health. The recent circular economy (CE) practices have …

Machine learning and region growing for breast cancer segmentation

DQ Zeebaree, H Haron… - … on Advanced Science …, 2019 - ieeexplore.ieee.org
One of the main causes of increased mortality among women is breast cancer. The
ultrasound scan is the most widely used method for diagnosing geological disease ie breast …

[PDF][PDF] A Comprehensive Investigation of Machine Learning Feature Extraction and ClassificationMethods for Automated Diagnosis of COVID-19 Based on X-ray …

MA Mohammed, KH Abdulkareem… - … Materials & Continua, 2021 - cdn.techscience.cn
The quick spread of the Coronavirus Disease (COVID-19) infection around the world
considered a real danger for global health. The biological structure and symptoms of COVID …