(1) Background: Transfer learning refers to machine learning techniques that focus on
acquiring knowledge from related tasks to improve generalization in the tasks of interest. In …

Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

Creating machines that behave and work in a way similar to humans is the objective of
artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving …

The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …

Cervical cancer ranks among the most prevalent causes of fatality in women around the
world. Early diagnosis is essential for treating cervical cancer using pap smear slides, but it …

Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …

Currently, mental stress is a common social problem affecting people. Stress reduces
human functionality during routine work and may lead to severe health defects. Detecting …

One of the most serious and dangerous ocular problems in premature infants is retinopathy
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …

This paper proposes an automated diagnostic tool namely, Auto-MyIn, for diagnosing
myocardial infarction (MI) using multiple convolutional neural networks (CNN). Rather than …

The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …