Computer-aided liver diagnosis helps doctors accurately identify liver abnormalities and
reduce the risk of liver surgery. Early diagnosis and detection of liver lesions depend mainly …

Powerful knowledge acquisition tools and techniques have the ability to increase both the
quality and the quantity of knowledge-based systems for real-world problems. In this paper …

Parkinson's disease (PD) is a degenerative neurological disease, and early diagnosis of PD
is crucial. Monitoring PD progression from voice records is a promising technique, which is …

Epilepsy is a chronic seizure state of an individual. The group of brain cells reflects
abnormal electrical activity. Electroencephalography (EEG) is a popular tool that monitors …

Due to the rapid spread of COVID-19, an urgent need arose for a quick and accurate
diagnosis approach. The well-known RT-PCR test is often unavailable and too costly for …

Problem A worldwide challenge is to provide medical resources required for COVID-19
detection. They must be effective tools for fast detection and diagnose of the virus using a …

This article explore lung cancer using a hybrid deep learning (DL) model. Thus, this article
offers a hybrid CNN along with the SVM classification method with tuned hyperparameters …

One of the most serious forms of brain stroke is intracranial hemorrhage (ICH). When an
artery bursts, the brain and the tissue around the artery start bleeding. This study proposes a …

The exponential growth of functional magnetic reasoning imaging (fMRI) data offers a great
opportunity for basic and clinical research to explore functional brain activity. Nonetheless …

Automated sentiment analysis is considered an area in natural language processing
research that seeks to understand a text author's mood, thoughts, and feelings. New …