The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …

The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …

The classification of the brain tumor image is playing a vital role in the medical image
domain, and it directly assists the clinicians to understand the severity and to take an …

The level of patient's illness is determined by diagnosing the problem through different
methods like physically examining patients, lab test data, and history of patient and by …

Deep learning models deliver a fast diagnosis during triage prescreening for COVID-19
patients, reducing waiting time for hospital admission during health emergency scenarios …

The difficulty or cost of obtaining data or labels in applications like medical imaging has
progressed less quickly. If deep learning techniques can be implemented reliably …

Electroencephalography (EEG) is a reliable method for identifying the onset of sleepiness
behind the wheel. Using EEG technology for driving fatigue detection still presents …

In recent times, the early detection of brain tumour analysis and classification has become a
very vital part of the medical field. The MRI scan image is the most significant tool to study …

COVID-19, the global pandemic of twenty-first century, has caused major challenges and
setbacks for researchers and medical infrastructure worldwide. The CoVID-19 influences on …

Cancer remains one of the leading causes of mortality worldwide, necessitating continuous
advancements in early diagnosis and treatment. Deep learning, a subset of artificial …