Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

Data scarcity is a major challenge when training deep learning (DL) models. DL demands a
large amount of data to achieve exceptional performance. Unfortunately, many applications …

In view of the problems of ineffective feature extraction and low detection accuracy in
existing detection system, this study presents a novel machine vision-based approach …

Gastric cancer represents a significant global health challenge with elevated incidence and
mortality rates, highlighting the need for advancements in diagnostic and therapeutic …

Background Via counting the different kinds of white blood cells (WBCs), a good quantitative
description of a person's health status is obtained, thus forming the critical aspects for the …

In the last decade, transcriptome research adopting next-generation sequencing (NGS)
technologies has gathered incredible momentum amongst functional genomics scientists …

Background In the current genomic era, gene expression datasets have become one of the
main tools utilized in cancer classification. Both curse of dimensionality and class imbalance …

Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

In recent years, developing the idea of “cancer big data” has emerged as a result of the
significant expansion of various fields such as clinical research, genomics, proteomics and …

This study presents a novel method, termed RBAVO-DE (Relief Binary African Vultures
Optimization based on Differential Evolution), aimed at addressing the Gene Selection (GS) …