Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …

With this review, we aimed to provide a synopsis of recently proposed applications of
machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI) …

This research studies a support vector machine (SVM)-based ensemble learning algorithm
for breast cancer diagnosis. Illness diagnosis plays a critical role in designating treatment …

Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging
with one or more functional MRI sequences. It has become a versatile tool for detecting and …

Multi-parameter magnetic resonance imaging (mp-MRI) is increasingly popular for prostate
cancer (PCa) detection and diagnosis. However, interpreting mp-MRI data which typically …

Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …

Semantic segmentation constitutes an integral part of medical image analyses for which
breakthroughs in the field of deep learning were of high relevance. The large number of …

Purpose To evaluate in a multi‐institutional study whether radiomic features useful for
prostate cancer (PCa) detection from 3 Tesla (T) multi‐parametric MRI (mpMRI) in the …

Prostate cancer (PCa) is the most commonly diagnosed cancer among men in the United
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …

Tumor suppressor genes (TSGs) are commonly inactivated by somatic mutation and/or
promoter methylation; yet, recent high-throughput genomic studies have not identified key …