Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images
出版年份 2021 全文链接
标题
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images
作者
关键词
Convolutional neural networks, Human aorta and coronary arteries segmentation, 2D and 3D network fusion, Medical images
出版物
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 121, Issue -, Pages 102189
出版商
Elsevier BV
发表日期
2021-10-09
DOI
10.1016/j.artmed.2021.102189
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。- Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
- (2021) Salim S. Virani et al. CIRCULATION
- Semi 3D-TENet: Semi 3D network based on temporal information extraction for coronary artery segmentation from angiography video
- (2021) Dongxue Liang et al. Biomedical Signal Processing and Control
- Class-driven content-based medical image retrieval using hash codes of deep features
- (2021) Şaban Öztürk Biomedical Signal Processing and Control
- DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image
- (2020) Md. Kamrul Hasan et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Stacked auto-encoder based tagging with deep features for content-based medical image retrieval
- (2020) Şaban Öztürk EXPERT SYSTEMS WITH APPLICATIONS
- DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes
- (2020) Giles Tetteh et al. Frontiers in Neuroscience
- Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
- (2019) Mohammad Hesam Hesamian et al. JOURNAL OF DIGITAL IMAGING
- Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach
- (2019) Jinming Duan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Learning tree-structured representation for 3D coronary artery segmentation
- (2019) Bin Kong et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- 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
- VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images
- (2018) Hao Chen et al. NEUROIMAGE
- Automated anatomical labeling of coronary arteries via bidirectional tree LSTMs
- (2018) Dan Wu et al. International Journal of Computer Assisted Radiology and Surgery
- A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images
- (2017) Jose Ignacio Orlando et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT Angiography
- (2016) Dongjin Han et al. PLoS One
- Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
- (2013) Rahil Shahzad et al. INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
- Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
- (2009) T. Heimann et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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