Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net
Authors
Keywords
-
Journal
MEDICAL PHYSICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-05-10
DOI
10.1002/mp.13577
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN
- (2019) Xue Dong et al. MEDICAL PHYSICS
- Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
- (2019) Bo Wang et al. MEDICAL PHYSICS
- A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study
- (2019) Tonghe Wang et al. JOURNAL OF NUCLEAR CARDIOLOGY
- Learning‐based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery
- (2019) Tonghe Wang et al. MEDICAL PHYSICS
- A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy
- (2018) Emran Mohammad Abu Anas et al. MEDICAL IMAGE ANALYSIS
- Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors
- (2018) Qi Zeng et al. International Journal of Computer Assisted Radiology and Surgery
- 3D deeply supervised network for automated segmentation of volumetric medical images
- (2017) Qi Dou et al. MEDICAL IMAGE ANALYSIS
- Fully automatic prostate segmentation from transrectal ultrasound images based on radial bas-relief initialization and slice-based propagation
- (2016) Yanyan Yu et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Learning-Based Multi-Label Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy
- (2016) Saman Nouranian et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Multi-Atlas-Based Segmentation Framework for Prostate Brachytherapy
- (2015) Saman Nouranian et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Rotationally resliced 3D prostate TRUS segmentation using convex optimization with shape priors
- (2015) Wu Qiu et al. MEDICAL PHYSICS
- Multiparametric ultrasound in the detection of prostate cancer: a systematic review
- (2015) Arnoud Postema et al. WORLD JOURNAL OF UROLOGY
- Automated Segmentation of the Parotid Gland Based on Atlas Registration and Machine Learning: A Longitudinal MRI Study in Head-and-Neck Radiation Therapy
- (2014) Xiaofeng Yang et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland
- (2013) Jan Egger PLoS One
- A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images
- (2012) Soumya Ghose et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation
- (2010) Pingkun Yan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Semi-automatic segmentation for prostate interventions
- (2010) S. Sara Mahdavi et al. MEDICAL IMAGE ANALYSIS
- Atlas-based prostate segmentation using an hybrid registration
- (2008) Sébastien Martin et al. International Journal of Computer Assisted Radiology and Surgery
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started