in this work, We propose an approach of symbolic learning for the recognition of leukemia
images. Image recognition for cancer detection is often a subjective problem due to different …

Multiple sclerosis (MS) segmentation is a crucial task that helps to monitor the progression of
that condition and to investigate how efficient is the treatment provided to a patient …

In this study, Novel Cat Swarm Optimization will be used to detect tongue-based leukemia in
comparison to Discrete Particle Swarm Optimization. To identify the tumor and leukemia …

Explainable artificial intelligence (XAI) is a field of research that has attracted the interest of
researchers in recent years. These algorithms seek to provide transparency to artificial …

In the biological area, the short reproductive cycle in rodents is useful because it allows
analyzed electrophysiological properties, behaviors, or drug effects through the changes …

Quantitative phase imaging (QPI) technology is one of the important techniques for
nondestructive imaging of a cell's morphology. In QPI, the decoupling of refractive index (RI) …

The aim of evolutionary vision is to address typical problems of artificial vision through
techniques whose principles are based on the theory of biological evolution. This allows us …

In this work, we provide a solution to the leukemia subtype recognition problem. Most
approaches used for solving a variety of pattern recognition problems have a drawback: in …

Az intracelluláris FXIII-A biológiai funkciójának megismerése egyre szélesebb körben
foglalkoztatja a kutatókat. Munkacsoportunk a FXIII-A gyermekkori BCP-ALL-es …

In the biological area, the short reproductive cycle in rodents is useful because it allows
analyzing electrophysiological properties, behaviors, or drugs effects, through the changes …