Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
出版年份 2017 全文链接
标题
Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method
作者
关键词
-
出版物
MEDICAL PHYSICS
Volume 44, Issue 10, Pages 5221-5233
出版商
Wiley
发表日期
2017-07-21
DOI
10.1002/mp.12480
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks
- (2016) Qi Dou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration
- (2016) Kaiqiong Sun et al. MEDICAL PHYSICS
- 3D-SIFT-Flow for atlas-based CT liver image segmentation
- (2016) Yan Xu et al. MEDICAL PHYSICS
- Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets
- (2016) Kenny H. Cha et al. MEDICAL PHYSICS
- Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique
- (2016) Atsushi Teramoto et al. MEDICAL PHYSICS
- Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
- (2015) Francesco Ciompi et al. MEDICAL IMAGE ANALYSIS
- Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors
- (2015) Toshiyuki Okada et al. MEDICAL IMAGE ANALYSIS
- IODA: An input/output deep architecture for image labeling
- (2015) J. Lerouge et al. PATTERN RECOGNITION
- Breast Image Analysis for Risk Assessment, Detection, Diagnosis, and Treatment of Cancer
- (2013) Maryellen L. Giger et al. Annual Review of Biomedical Engineering
- Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation
- (2013) Robin Wolz et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
- (2013) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
- (2013) Ulas Bagci et al. MEDICAL IMAGE ANALYSIS
- Statistical shape models for 3D medical image segmentation: A review
- (2009) Tobias Heimann et al. MEDICAL IMAGE ANALYSIS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started