The field of automated lung cancer diagnosis using Computed Tomography (CT) scans has
been significantly advanced by the precise predictions offered by Convolutional Neural …

Lung cancer represents a significant global health challenge, transcending demographic
boundaries of age, gender, and ethnicity. Timely detection stands as a pivotal factor for …

Lung cancer is one of the leading causes of cancer-related deaths worldwide. To reduce the
mortality rate, early detection and proper treatment should be ensured. Computer-aided …

Lung cancer has emerged as a leading cause of global cancer-related mortality,
necessitating effective early detection and classification methods. Recent advancements in …

Timely identification of lung nodules, which are precursors to lung cancer, and their
evaluation can significantly reduce the incidence rate. Computed Tomography (CT) is the …

Lung cancer remains a prevalent and deadly disease, claiming numerous lives annually.
Early detection plays a pivotal role in significantly improving survival rates, by up to 50–70 …

There is a widespread agreement that lung cancer is one of the deadliest types of cancer,
affecting both women and men. As a result, detecting lung cancer at an early stage is crucial …

Background The exceptional capabilities of artificial intelligence (AI) in extracting image
information and processing complex models have led to its recognition across various …

Ovarian cancer, characterized by uncontrolled cell growth in the ovaries, poses a significant
threat to women's reproductive health. Often referred to as the “silent killer,” it is notorious for …

Abstract Colon Cancer (CoC) appears to be the third leading cause of cancer death in men
and second among women. Therefore, the infection and mortality rates can be reduced with …