The increasing use of biomarkers in cancer have led to the concept of personalized
medicine for patients. Personalized medicine provides better diagnosis and treatment …

Background Tumor spatial heterogeneity is an important prognostic factor, which may be
reflected in medical images Methods Image texture analysis is an approach of quantifying …

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 …

Abstract 18 F-Fluorodeoxyglucose positron emission tomography/computed tomography (18
F-FDG PET/CT) is now routinely used in oncological imaging for diagnosis and staging and …

Modern medical diagnosis utilizes techniques of visualization of human internal organs (CT,
MRI) or of its metabolism (PET). However, evaluation of acquired images made by human …

Objective To investigate the application of machine learning–based ultrasound radiomics in
preoperative classification of primary and metastatic liver cancer. Methods Data of 114 …

Assessment of renal function and structure accurately remains essential in the diagnosis
and prognosis of Chronic Kidney Disease (CKD). Advanced imaging, including Magnetic …

Background To evaluate the diagnostic performance of radiomic signatures extracted from
contrast-enhanced magnetic resonance imaging (CE-MRI) for the assessment of breast …

Background Many techniques are proposed for the quantification of tumor heterogeneity as
an imaging biomarker for differentiation between tumor types, tumor grading, response …

Correctly determining the onset of fracture is crucial when performing mechanical
experiments. Commonly carried out by visual inspection, here an image-based machine …