PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
出版年份 2023 全文链接
标题
PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
作者
关键词
-
出版物
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
Volume 38, Issue 3, Pages 567-581
出版商
Springer Science and Business Media LLC
发表日期
2023-08-08
DOI
10.1007/s11390-023-3066-4
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。- CRAUNet: A cascaded residual attention U-Net for retinal vessel segmentation
- (2022) Fangfang Dong et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Contextual information enhanced convolutional neural networks for retinal vessel segmentation in color fundus images
- (2021) Muyi Sun et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation
- (2021) Huisi Wu et al. MEDICAL IMAGE ANALYSIS
- MD-Net: A multi-scale dense network for retinal vessel segmentation
- (2021) Zhengjin Shi et al. Biomedical Signal Processing and Control
- A deep learning system for detecting diabetic retinopathy across the disease spectrum
- (2021) Ling Dai et al. Nature Communications
- Width-wise vessel bifurcation for improved retinal vessel segmentation
- (2021) Tariq M. Khan et al. Biomedical Signal Processing and Control
- Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm
- (2021) Jiahong Wei et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- NFN+: A novel network followed network for retinal vessel segmentation
- (2020) Yicheng Wu et al. NEURAL NETWORKS
- A size-invariant convolutional network with dense connectivity applied to retinal vessel segmentation measured by a unique index
- (2020) Zhongshuo Zhuo et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
- (2020) Lei Mou et al. MEDICAL IMAGE ANALYSIS
- DUNet: A deformable network for retinal vessel segmentation
- (2019) Qiangguo Jin et al. KNOWLEDGE-BASED SYSTEMS
- Multi-proportion channel ensemble model for retinal vessel segmentation
- (2019) Peng Tang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation
- (2019) Toufique Ahmed Soomro et al. EXPERT SYSTEMS WITH APPLICATIONS
- Dense Dilated Network With Probability Regularized Walk for Vessel Detection
- (2019) Lei Mou et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Large-scale retrieval for medical image analytics: A comprehensive review
- (2018) Zhongyu Li et al. MEDICAL IMAGE ANALYSIS
- Retinal Vessel Segmentation Using Minimum Spanning Superpixel Tree Detector
- (2018) Bin Sheng et al. IEEE Transactions on Cybernetics
- 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
- A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
- (2016) Qiaoliang Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Segmenting Retinal Blood Vessels With _newline Deep Neural Networks
- (2016) Pawel Liskowski et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Vessel extraction from non-fluorescein fundus images using orientation-aware detector
- (2015) Benjun Yin et al. MEDICAL IMAGE ANALYSIS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search