Image texture is a very important component in many types of images, including medical
images. Medical images are often corrupted by noise and affected by artifacts. Some of the …

Objective Accurate differentiation of the histological sub-type of ono-small-cell lung cancer
(NSCLC) at an early stage of diagnosis is crucial in choosing appropriate treatment option …

Computer-extracted texture features are relevant to diagnose cutaneous lesions such as
melanomas. Our goal is to set a relationship between a well-established descriptive …

Infrared thermography (IRT) was applied as a potentially useful tool in the detection of
pregnancy in equids, especially native or wildlife. IRT measures heat emission from the …

This study introduces a comprehensive approach for classifying individual malting barley
kernels, involving dual-sided kernel imaging, a specifically designed image processing …

The automated analysis of computed tomography (CT) scans of vertebrae, for the purpose of
determining an individual's age and sex constitutes a vital area of research. Accurate …

Objective To assess the diagnostic value of machine learning-based texture feature analysis
of late gadolinium enhancement images on cardiac magnetic resonance imaging (MRI) for …

Simple Summary Detecting horse state after exercise is critical for maximizing athletic
performance. The horse's response to fatigue includes exercise termination or exercise …

Currently, bone age is assessed by X-rays. It enables the evaluation of the child's
development and is an important diagnostic factor. However, it is not sufficient to diagnose a …

Atrial fibrillation arises mainly due to abnormalities in the cardiac conduction system and is
associated with anatomical remodeling of the atria and the pulmonary veins. Cardiovascular …