标题
A hybrid deep segmentation network for fundus vessels via deep-learning framework
作者
关键词
-
出版物
NEUROCOMPUTING
Volume 448, Issue -, Pages 168-178
出版商
Elsevier BV
发表日期
2021-03-30
DOI
10.1016/j.neucom.2021.03.085
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。- Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip
- (2020) Nianyin Zeng et al. NEUROCOMPUTING
- DUNet: A deformable network for retinal vessel segmentation
- (2019) Qiangguo Jin et al. KNOWLEDGE-BASED SYSTEMS
- BTS-DSN: Deeply supervised neural network with short connections for retinal vessel segmentation
- (2019) Song Guo et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- Multilevel and Multiscale Deep Neural Network for Retinal Blood Vessel Segmentation
- (2019) Pearl Mary Samuel et al. Symmetry-Basel
- CE-Net: Context Encoder Network for 2D Medical Image Segmentation
- (2019) Zaiwang Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Novel Weakly Supervised Multitask Architecture for Retinal Lesions Segmentation on Fundus Images
- (2019) Clement Playout et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation
- (2018) Zengqiang Yan et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
- (2018) Xiaomeng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks
- (2018) IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic extraction and identification of narrow butt joint based on ANFIS before GMAW
- (2018) Lei Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation
- (2018) Zengqiang Yan et al. IEEE Journal of Biomedical and Health Informatics
- CT liver tumor segmentation hybrid approach using neutrosophic sets, fast fuzzy c-means and adaptive watershed algorithm
- (2018) Ahmed M. Anter et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- 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 welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm
- (2017) Lei Yang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
- (2016) Jiong Zhang 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
- Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach
- (2014) Nianyin Zeng et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
- (2011) Xinge You et al. PATTERN RECOGNITION
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started