Diseases not only manifest as internal structural and functional abnormalities, but also have
facial characteristics and appearance deformities. Specific facial phenotypes are potential …

In this paper, an effective approach for the feature extraction of raw Electroencephalogram
(EEG) signals by means of one-dimensional local binary pattern (1D-LBP) was presented …

Automatic medical diagnosis is an emerging center of interest in computer vision as it
provides unobtrusive objective information on a patient's condition. The face, as a mirror of …

Cushing's syndrome (CS) and acromegaly are endocrine diseases that are currently
diagnosed with a delay of several years from disease onset. Novel diagnostic approaches …

Aiming at the defect of Local Binary Pattern (LBP) and its variants, this paper presents a new
modeling of the conventional LBP operator for texture classification. Named Attractive-and …

Developmental Disorders are chronic disabilities that have a severe impact on the day to
day functioning of a large section of the human population. Recognizing developmental …

The recent developments in the image quality, storage and data transmission capabilities
increase the importance of texture analysis, which plays an important role in computer vision …

Medical diagnosis involves the expert opinion of trained health care professionals based on
causal inference from medical data. While medical data are typically collected using …

Down syndrome, the most common single cause of human birth defects, produces
alterations in physical growth and mental retardation. If missed before birth, the early …

Facial analysis technologies have recently measured up to the capabilities of expert
clinicians in syndrome identification. To date, these technologies could only identify …