Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …

Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …

This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …

Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in
China that affected millions of people around the world. On 11 March 2020, the WHO …

Medical imaging and deep learning methods have significantly improved the early detection
of brain diseases like tumors and Ischemic stroke with higher accuracy. Machine learning …

In modern healthcare, the precision of medical image segmentation holds immense
significance for diagnosis and treatment planning. Deep learning techniques, such as …

Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …

Breast Cancer (BC) is one of the top reasons for fatality in women worldwide. As a result,
timely identification is critical for successful therapy and excellent survival rates. Transfer …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

To address the low-light image (LLI) problem in train driving scenarios, this paper proposes
a progressive and lightweight network called BrightsightNet for LLI enhancement. First, to …