Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
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 …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Models and methods for analyzing DCE‐MRI: A review
Purpose: To present a review of most commonly used techniques to analyze dynamic
contrast‐enhanced magnetic resonance imaging (DCE‐MRI), discusses their strengths and …
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 …
resonance (MR) imaging of prostate cancer. Technical requirements and clinical indications …
Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management
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 …
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 …
Purpose To evaluate the potential utility of a number of parameters obtained at T2-weighted,
diffusion-weighted, and dynamic contrast material–enhanced multiparametric magnetic …
diffusion-weighted, and dynamic contrast material–enhanced multiparametric magnetic …
Multiparametric MRI and radiomics in prostate cancer: a review
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 …
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
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …
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
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 …
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
We address the problem of prostate lesion detection, localization, and segmentation in T2W
magnetic resonance (MR) images. We train a deep convolutional encoder-decoder …
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
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 …
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …