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 …
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 …
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
MAPS: a quantitative radiomics approach for prostate cancer detection
A Cameron, F Khalvati, MA Haider… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a quantitative radiomics feature model for performing prostate cancer
detection using multiparametric MRI (mpMRI). It incorporates a novel tumor candidate …
detection using multiparametric MRI (mpMRI). It incorporates a novel tumor candidate …
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 …
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models
Background Prostate cancer is the most common form of cancer and the second leading
cause of cancer death in North America. Auto-detection of prostate cancer can play a major …
cause of cancer death in North America. Auto-detection of prostate cancer can play a major …
Attention-guided multi-scale learning network for automatic prostate and tumor segmentation on MRI
Y Li, Y Wu, M Huang, Y Zhang, Z Bai - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Background and Objective: Image-guided clinical diagnosis can be achieved by
automatically and accurately segmenting prostate and prostatic cancer in male pelvic …
automatically and accurately segmenting prostate and prostatic cancer in male pelvic …
Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods
Prostate cancer represents today the most typical example of a pathology whose diagnosis
requires multiparametric imaging, a strategy where multiple imaging techniques are …
requires multiparametric imaging, a strategy where multiple imaging techniques are …
Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
especially with the increased proportion of elderly population. Early detection of prostate …
Supervised and unsupervised methods for prostate cancer segmentation with multispectral MRI
Purpose: Magnetic resonance imaging (MRI) has been proposed as a promising alternative
to transrectal ultrasound for the detection and localization of prostate cancer and fusing the …
to transrectal ultrasound for the detection and localization of prostate cancer and fusing the …
[HTML][HTML] Segmentation of the prostatic gland and the intraprostatic lesions on multiparametic magnetic resonance imaging using mask region-based convolutional …
Purpose Accurate delineation of the prostate gland and intraprostatic lesions (ILs) is
essential for prostate cancer dose-escalated radiation therapy. The aim of this study was to …
essential for prostate cancer dose-escalated radiation therapy. The aim of this study was to …