Recently, artificial intelligence applications in magnetic resonance imaging have been
applied in several clinical studies. The analysis of brain tumors without human intervention …

Purpose: The main purpose of this study was to comprehensively investigate the potential of
fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma …

Fractal analysis has emerged as a powerful tool for characterizing irregular and complex
patterns found in the nervous system. This characterization is typically applied by estimating …

Early diagnosis of tumors can reduce mortality rates. Hence, tumor position, tumor area, and
tumor categories evaluation are also mandatory concerns for the proper medication. This …

A brain tumor is the most common disease that affects the central nervous system (CNS), the
brain, and spinal cord. It can be diagnosed using the safest and most reliable imaging …

Brain tumor is considered as a major concern in the current scenario. The survival of a
person is a challenging task, if the brain tumor is in the severe stage. Fractal dimension (FD) …

Early detection of cancer tumors significantly increases the chances of recovery and usually
results in improved quality of life and patient lifespan. In this context, computer systems can …

Detection of brain tumor's grade is a very important task in treatment plan design which was
done using invasive methods such as pathological examination. This examination needs …

In the recent past artificial intelligence applications in Magnetic Resonance Imaging (MRI) is
applied in various clinical researches. However, for analyzing brain tumor without human …

Brain tumors have very high morbidity and mortality, and it is very time-consuming for
clinicians to diagnose this disease. Computer-aided medical image analysis can improve …