Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review

G Lemaître, R Martí, J Freixenet, JC Vilanova… - Computers in biology …, 2015 - Elsevier
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 …

Models and methods for analyzing DCE‐MRI: A review

F Khalifa, A Soliman, A El‐Baz… - Medical …, 2014 - Wiley Online Library
Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …

Prostate cancer: multiparametric MR imaging for detection, localization, and staging

CMA Hoeks, JO Barentsz, T Hambrock, D Yakar… - Radiology, 2011 - pubs.rsna.org
This review presents the current state of the art regarding multiparametric magnetic
resonance (MR) imaging of prostate cancer. Technical requirements and clinical indications …

Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management

S Verma, B Turkbey, N Muradyan… - American Journal of …, 2012 - Am Roentgen Ray Soc
OBJECTIVE. This article is a primer on the technical aspects of performing a high-quality
dynamic contrast-enhanced MRI (DCE-MRI) examination of the prostate gland …

Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score—a …

Y Peng, Y Jiang, C Yang, JB Brown, T Antic, I Sethi… - Radiology, 2013 - pubs.rsna.org
Purpose To evaluate the potential utility of a number of parameters obtained at T2-weighted,
diffusion-weighted, and dynamic contrast material–enhanced multiparametric magnetic …

Multiparametric MRI and radiomics in prostate cancer: a review

Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
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 …

Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network

Z Wang, C Liu, D Cheng, L Wang… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova… - Computer methods and …, 2012 - Elsevier
Prostate segmentation is a challenging task, and the challenges significantly differ from one
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …

A deep learning-based approach for the detection and localization of prostate cancer in T2 magnetic resonance images

R Alkadi, F Taher, A El-Baz, N Werghi - Journal of digital imaging, 2019 - Springer
We address the problem of prostate lesion detection, localization, and segmentation in T2W
magnetic resonance (MR) images. We train a deep convolutional encoder-decoder …

Computer aided‐diagnosis of prostate cancer on multiparametric MRI: a technical review of current research

S Wang, K Burtt, B Turkbey, P Choyke… - BioMed research …, 2014 - Wiley Online Library
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 …