Deep learning-based methods for prostate segmentation in magnetic resonance imaging
Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
perform accurate prostate delineation facilitating the adoption of novel imaging parameters …
Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks
Accurate automatic segmentation of the prostate in magnetic resonance images (MRI) is a
challenging task due to the high variability of prostate anatomic structure. Artifacts such as …
challenging task due to the high variability of prostate anatomic structure. Artifacts such as …
Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset
Background Prostate volume, as determined by magnetic resonance imaging (MRI), is a
useful biomarker both for distinguishing between benign and malignant pathology and can …
useful biomarker both for distinguishing between benign and malignant pathology and can …
Deep convolutional neural network for prostate MR segmentation
Automatic segmentation of the prostate in magnetic resonance imaging (MRI) has many
applications in prostate cancer diagnosis and therapy. We propose a deep fully …
applications in prostate cancer diagnosis and therapy. We propose a deep fully …
PSNet: prostate segmentation on MRI based on a convolutional neural network
Automatic segmentation of the prostate on magnetic resonance images (MRI) has many
applications in prostate cancer diagnosis and therapy. We proposed a deep fully …
applications in prostate cancer diagnosis and therapy. We proposed a deep fully …
A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation
Background and objective Prostate segmentation on Magnetic Resonance (MR) imaging is
problematic because disease changes the shape and boundaries of the gland and it can be …
problematic because disease changes the shape and boundaries of the gland and it can be …
Prostate segmentation with encoder-decoder densely connected convolutional network (Ed-Densenet)
Prostate cancer is a leading cause of mortality among men. Prostate segmentation of
Magnetic Resonance (MR) images plays a critical role in treatment planning and image …
Magnetic Resonance (MR) images plays a critical role in treatment planning and image …
Segmentation of prostate and prostate zones using deep learning: A multi-MRI vendor analysis
O Zavala-Romero, AL Breto, IR Xu, YCC Chang… - Strahlentherapie und …, 2020 - Springer
Purpose Develop a deep-learning-based segmentation algorithm for prostate and its
peripheral zone (PZ) that is reliable across multiple MRI vendors. Methods This is a …
peripheral zone (PZ) that is reliable across multiple MRI vendors. Methods This is a …
Prostate158-An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection
LC Adams, MR Makowski, G Engel, M Rattunde… - Computers in Biology …, 2022 - Elsevier
Background The development of deep learning (DL) models for prostate segmentation on
magnetic resonance imaging (MRI) depends on expert-annotated data and reliable …
magnetic resonance imaging (MRI) depends on expert-annotated data and reliable …
Inter-site variability in prostate segmentation accuracy using deep learning
Deep-learning-based segmentation tools have yielded higher reported segmentation
accuracies for many medical imaging applications. However, inter-site variability in image …
accuracies for many medical imaging applications. However, inter-site variability in image …