Physiological properties of tumors can be measured both in vivo and noninvasively by
diffusion‐weighted imaging and dynamic contrast‐enhanced magnetic resonance imaging …

Breast cancer is extremely common, striking 1 in 8 American women, and is the second
leading cause of cancer death among women in the United States. 1 Breast cancer mortality …

Breast cancer is the most common cancer in women. Ultrasound is a widely used screening
tool for its portability and easy operation, and DCE-MRI can highlight the lesions more …

Abstract Multiparametric Magnetic Resonance Imaging (MRI) is the most sensitive imaging
modality for breast cancer detection and is increasingly playing a key role in lesion …

Prostate cancer exhibits intra-tumoral heterogeneity that we hypothesize to be the leading
confounding factor contributing to the underperformance of the current pre-treatment clinical …

The purpose is to compare quantitative dynamic contrast-enhanced (DCE) magnetic
resonance imaging (MRI) metrics with imaging tumor size for early prediction of breast …

Optimal control theory is branch of mathematics that aims to optimize a solution to a
dynamical system. While the concept of using optimal control theory to improve treatment …

This protocol describes a complete data acquisition, analysis and computational forecasting
pipeline for employing quantitative MRI data to predict the response of locally advanced …

Although there are considerable data on the use of mathematical modeling to describe
tumor growth and response to therapy, previous approaches are often not of the form that …

The aim of the article is to present a novel method for fuzzy medical image retrieval (FMIR)
using vector quantization (VQ) with fuzzy signatures in conjunction with fuzzy S-trees. In past …