Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …

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 …

World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …

Prostate cancer represents today the most typical example of a pathology whose diagnosis
requires multiparametric imaging, a strategy where multiple imaging techniques are …

Even though 1 in 6 men in the US, in their lifetime are expected to be diagnosed with
prostate cancer (CaP), only 1 in 37 is expected to die on account of it. Consequently, among …

Recently, both Magnetic Resonance (MR) Imaging (MRI) and Spectroscopy (MRS) have
emerged as promising tools for detection of prostate cancer (CaP). However, due to the …

Featured Application Integration of Conditional Random Fields into Convolutional Neural
Networks as a hybrid end-to-end approach for prostate cancer detection on non-contrast …

This paper overviews one of the most important, interesting, and challenging problems in
oncology, early diagnosis of prostate cancer. Develo** effective diagnostic techniques for …

Prostate cancer (CaP) is the second most diagnosed cancer in men all over the world. CaP
growth is characterized by two main types of evolution:(i) the slow-growing tumours progress …

In this study we explore the ability of a novel machine learning approach, in conjunction with
computer-extracted features describing prostate cancer morphology on pre-treatment MRI …