Aim Emotion recognition based on facial expression is an important field in affective
computing. Current emotion recognition systems may suffer from two shortcomings …

Background: The number of patients with Alzheimer's disease is increasing rapidly every
year. Scholars often use computer vision and machine learning methods to develop an …

In order to detect multiple sclerosis (MS) subjects from healthy controls (HCs) in magnetic
resonance imaging, we developed a new system based on machine learning. The MS …

Labeling brain images as healthy or pathological cases is an important procedure for
medical diagnosis. Therefore, we proposed a novel image feature, stationary wavelet …

INTRODUCTION: As one of the important research directions in the field of computer vision,
facial emotion recognition plays an important role in people's daily life. How to make the …

COVID-19 has swept the world and has had great impact on us. Rapid and accurate
diagnosis of COVID-19 is essential. Analysis of chest CT images is an effective means. In …

Most existing array comparative genomic hybridization (array CGH) data processing
methods and evaluation models assumed that the probability density function (pdf) of noise …

Medical image three-dimensional (3D) interpolation is an important means to improve the
image effect in 3D reconstruction. In image processing, the time-frequency domain transform …

Introduction: Sensorineural hearing loss is associated with many complications and needs
timely detection and diagnosis. Objectives: Optimize the sensorineural hearing loss …

Diabetic retinopathy, a major cause of adult blindness, is a medical condition in which
damage occurs to the retina due to diabetes mellitus. Based on the Diaretinopathy …