Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

Advances in both imaging and computers have led to the rise in the potential use of artificial
intelligence (AI) in various tasks in breast imaging, going beyond the current use in …

Importance There has been significant recent interest in understanding the utility of
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …

Background Recent studies showed preliminary data on associations of MRI-based imaging
phenotypes of breast tumours with breast cancer molecular, genomic, and related …

Machine‐learning techniques have led to remarkable advances in data extraction and
analysis of medical imaging. Applications of machine learning to breast MRI continue to …

Objectives To evaluate the efficiency of radiomics model on CT images of intratumoral and
peritumoral lung parenchyma for preoperative prediction of lymph node (LN) metastasis in …

Active targeting in cancer nanomedicine, for improved delivery of agents and diagnose, has
been reviewed as a successful way for facilitating active uptake of theranostic agents by the …

Rationale and objectives To determine whether deep learning models can distinguish
between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic …

Significant advances in imaging analysis and the development of high-throughput methods
that can extract and correlate multiple imaging parameters with different clinical outcomes …

Objectives To develop and validate radiomic models in evaluating biological characteristics
of rectal cancer based on multiparametric magnetic resonance imaging (MP-MRI). Methods …