Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …

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 …

The adoption of cloud computing has become increasingly widespread across various
domains. However, the inherent security vulnerabilities of cloud computing pose significant …

Prostate cancer (PRC) is the major reason of mortality globally. Early recognition and
classification of PRC become essential to enhance the quality of healthcare services. A …

The early detection of cancer is of paramount importance in the medical field, as it can lead
to more precise and effective interventions for successful cancer treatments. Cancer …

The selection of disease-causing genes from gene expression and methylation data is a
great benefit for cancer diagnosis and treatment, but it also faces the limitations due to single …

The exponential growth of digital text documents presents a significant challenge for text
classification algorithms, as the vast number of words in each document can hinder their …

Simple Summary The pathologic diagnosis of primary and secondary liver cancers can often
be difficult. Artificial intelligence (AI) presents potential solutions to these difficulties by aiding …

Gastric cancer (GC), an acknowledged malignant neoplasm, threatens life and digestive
system functionality if not detected and addressed promptly in its nascent stages. The …

The original Harris hawks optimization (HHO) algorithm has the problems of unstable
optimization effect and easy to fall into stagnation. However, most of the improved HHO …