OBJECTIVE. Radiologic texture is the variation in image intensities within an image and is
an important part of radiomics. The objective of this article is to discuss some parameters …

Radiomic analysis has exponentially increased the amount of quantitative data that can be
extracted from a single image. These imaging biomarkers can aid in the generation of …

In recent years, weeds have been responsible for most agricultural yield losses. To deal with
this threat, farmers resort to spraying the fields uniformly with herbicides. This method not …

Haralick texture features are common texture descriptors in image analysis. To compute the
Haralick features, the image gray-levels are reduced, a process called quantization. The …

Objective: Histologic grade and Ki-67 proliferation status are important clinical indictors for
breast cancer prognosis and treatment. The purpose of this study is to improve prediction …

The variety of modern steels is growing steadily. In order to meet the ever tighter tolerance
ranges for the properties of these steels, it is important to both understand the manufacturing …

Introduction This work describes the development of a novel radiomics phantom designed
for magnetic resonance imaging (MRI) that can be used in a multicenter setting. The …

The endoplasmic reticulum (ER) is a highly dynamic polygonal membrane network
composed of interconnected tubules and sheets (cisternae) that forms the first compartment …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Volunteer corn (VC; Zea mays L.), as a weed in corn-soybean (Glycine max (L.) Merr.)
rotation, has negatively impacted soybean production by reducing yield, lowering grain …