The segmentation of malignant breast tissue from histological images represents a crucial
task for the diagnosis of breast cancer (BC). This is a time-consuming process that could be …

Purpose: The main purpose of this study was to comprehensively investigate the potential of
fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma …

A few methods and tools are available for the quantitative measurement of the brain volume
targeting mainly brain volume loss. However, several factors, such as the clinical conditions …

Histopathology is a well-established standard diagnosis employed for the majority of
malignancies, including breast cancer. Nevertheless, despite training and standardization, it …

Background Kinetic estimation provides fitted parameters related to blood flow perfusion and
fluorine-18-fluorodeoxyglucose (18F-FDG) transport and intracellular metabolism to …

The ROC curve and its associated summary statistic, the AUC, are used to identify
informative diagnostic biomarkers under the assumption that risk of disease is a monotone …

The present study aims to evaluate the effectiveness of the multifractal analysis in classifying
benign and malignant tumor cells on MRI (Magnetic Resonance Imaging) images from …

Background: Owing to the restricted predictive value of conventional prognostic factors and
the inconsistent treatment strategies, several oral squamous cell carcinoma (OSCC) patients …

Recently, there is increasing interest in identifying benign and malignant nodules by using
ultrasound diagnostic technology, which should be helpful to release patients with benign …

Background The endoplasmic reticulum plays an important role in glucose metabolism and
has not been explored in the kinetic estimation of hepatocellular carcinoma (HCC) via 18F …