There is a need for some techniques to solve various problems in today's computing world.
Metaheuristic algorithms are one of the techniques which are capable of providing practical …

Abstract Purpose Magnetic Resonance Imaging (MRI) provides an essential contribution in
the screening, detection, diagnosis, staging, treatment and follow-up in patients with a …

An unusual increase of nerves inside the brain, which disturbs the actual working of the
brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this …

Abstract Alzheimer's disease (AD), characterized by stages like Early and Late Mild
Cognitive Impairment (EMCI and LMCI), is a growing global concern. Accurate diagnosis is …

To solve the problems of rough edge and poor segmentation accuracy of traditional neural
networks in small nucleus image segmentation, a nucleus image segmentation technology …

The diagnosis is influenced by the classification of brain MRIs. Classifying and analyzing
structures within images can be significantly enhanced by employing the Swin Transformer …

Prioritizing candidate genes is essential for genome-based diagnostics of various hereditary
disorders. Furthermore, it is a difficult task with particular and noisy information about genes …

Introduction Cerebrospinal fluid (CSF) leak during endoscopic endonasal transsphenoidal
surgery (EETS) can lead to postoperative complications. The clinical and anatomic risk …

The aim of this research was to analyze the application of fuzzy C‐means (FCM) algorithm‐
based ARM‐Linux‐embedded system in magnetic resonance imaging (MRI) images for …

This study was to analyze the ultrasound imaging characteristics of infectious pneumonia of
newborn in different conditions and the differences in neurobehavioral development. An …