PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
Published 2023 View Full Article
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Title
PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation
Authors
Keywords
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Journal
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
Volume 38, Issue 3, Pages 567-581
Publisher
Springer Science and Business Media LLC
Online
2023-08-08
DOI
10.1007/s11390-023-3066-4
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- (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
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