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 …

Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

The development of accurate and reliable diagnostic tools is crucial for the timely and
effective treatment of pulmonary diseases. However, in the midst of a pandemic, it is also …

In this paper, the Lung Cancer Classification using Convolutional Neural Network with
DenseNet-201 Transfer Learning model optimized through Namib Beetle Optimization …

The novel coronavirus is spreading rapidly worldwide, and finding an effective and rapid
diagnostic method is apriority. Medical data involves patient privacy, and the centralized …

The motivation of this work is to investigate two technological AI paths, evaluate the
performance, and discuss the results. Using a covid-19 chest X-ray images databank, we …

Radiology report generation is a critical task for radiologists, and automating the process
can significantly simplify their workload. However, creating accurate and reliable radiology …

Lung cancer is the leading cause of cancer death, and early diagnosis is associated with a
positive prognosis. Chest X-ray (CXR) provides an inexpensive imaging mode for lung …

Any condition that damages or impedes the normal operation of the lungs is classified as a
lung disease, and failure to identify and address it early can potentially lead to false …

Lung cancer remains the most lethal cancer, primarily due to late diagnoses. Thus, early
detection of lung cancer is critical to improving patient outcomes. While conventional …