Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …
Automated diagnosis of leukemia: a comprehensive review
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …
blood and damages the bone marrow. The overproduction of abnormal and immature white …
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 …
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …
Voice pathology detection and classification using convolutional neural network model
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 …
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 …
and healthcare systems worldwide. This newly recognized virus is highly transmissible, and …
Semi-supervised NPC segmentation with uncertainty and attention guided consistency
Segmentation of nasopharyngeal carcinoma (NPC) from computed tomography (CT) image
is conducive to the clinical healthcare. Nevertheless, due to the large shape variations …
is conducive to the clinical healthcare. Nevertheless, due to the large shape variations …
Examining multiple feature evaluation and classification methods for improving the diagnosis of Parkinson's disease
An accurate diagnosis of Parkinson's disease by specialists involves many neurological,
psychological and physical examinations. The specialists investigate a number of symptoms …
psychological and physical examinations. The specialists investigate a number of symptoms …
[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 …
considered a real danger for global health. The biological structure and symptoms of COVID …
Integrating Elman recurrent neural network with particle swarm optimization algorithms for an improved hybrid training of multidisciplinary datasets
There are several types of neural networks (NNs) that are widely used for data classification
tasks. The supervised learning NN is an advanced network with a training algorithm for …
tasks. The supervised learning NN is an advanced network with a training algorithm for …
Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques
MK Abd Ghani, MA Mohammed, N Arunkumar… - Neural Computing and …, 2020 - Springer
Making an accurate diagnosis of nasopharyngeal carcinoma (NPC) disease is a challenging
task that involves many parties such as radiology specialists often times need to delineate …
task that involves many parties such as radiology specialists often times need to delineate …