Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Authors
Keywords
-
Journal
MEDICAL PHYSICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2019-01-31
DOI
10.1002/mp.13416
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- MRI-Based Synthetic CT for Radiation Treatment of Prostate Cancer
- (2018) X. Yang et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- 3D deeply supervised network for automated segmentation of volumetric medical images
- (2017) Qi Dou et al. MEDICAL IMAGE ANALYSIS
- A multiresolution prostate representation for automatic segmentation in magnetic resonance images
- (2017) Charlens Alvarez et al. MEDICAL PHYSICS
- An Automatic Learning-Based Framework for Robust Nucleus Segmentation
- (2016) Fuyong Xing et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching
- (2016) Yanrong Guo et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests
- (2016) Yaozong Gao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A combinatorial Bayesian and Dirichlet model for prostate MR image segmentation using probabilistic image features
- (2016) Ang Li et al. PHYSICS IN MEDICINE AND BIOLOGY
- The use of atlas registration and graph cuts for prostate segmentation in magnetic resonance images
- (2015) Anne Sofie Korsager et al. MEDICAL PHYSICS
- LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images
- (2015) Li Wang et al. NEUROIMAGE
- Computer-Aided Detection of Prostate Cancer in MRI
- (2014) Geert Litjens et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning
- (2014) Yanrong Guo et al. MEDICAL PHYSICS
- Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
- (2013) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- International Variation in Prostate Cancer Incidence and Mortality Rates
- (2012) Melissa M. Center et al. EUROPEAN UROLOGY
- Prostate Segmentation in MR Images Using Discriminant Boundary Features
- (2012) Meijuan Yang et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation
- (2012) Robert Toth et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images
- (2012) S. S. Chandra et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images
- (2012) Shu Liao et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now