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。Sine-Net: A fully convolutional deep learning architecture for retinal blood vessel segmentation
Ibrahim Atli et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2021)
Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model
Siyuan Tang et al.
JOURNAL OF SUPERCOMPUTING (2021)
Fine retinal vessel segmentation by combining Nest U-net and patch-learning
Chang Wang et al.
SOFT COMPUTING (2021)
Encoder Enhanced Atrous (EEA) Unet architecture for Retinal Blood vessel segmentation
V Sathananthavathi et al.
COGNITIVE SYSTEMS RESEARCH (2021)
Neovascularization Detection and Localization in Fundus Images Using Deep Learning
Michael Chi Seng Tang et al.
SENSORS (2021)
Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation
V. Sathananthavathi et al.
JOURNAL OF DIGITAL IMAGING (2020)
CPGAN: Conditional patch-based generative adversarial network for retinal vessel segmentation
Sadaqat Ali Rammy et al.
IET IMAGE PROCESSING (2020)
Fast macula detection and application to retinal image quality assessment
Robin Alais et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection
Liu Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
DCCMED-Net: Densely connected and concatenated multi Encoder-Decoder CNNs for retinal vessel extraction from fundus images
Umit Budak et al.
MEDICAL HYPOTHESES (2020)
NFN plus : A novel network followed network for retinal vessel segmentation
Yicheng Wu et al.
NEURAL NETWORKS (2020)
Detection of Early Signs of Diabetic Retinopathy Based on Textural and Morphological Information in Fundus Images
Adrian Colomer et al.
SENSORS (2020)
SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation
Tiejun Yang et al.
JOURNAL OF DIGITAL IMAGING (2020)
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection
Jose Escorcia-Gutierrez et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation
Tariq Mahmood Khan et al.
IEEE ACCESS (2020)
Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse
Weihua Wang et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2019)
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus Images
Zhun Fan et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
Blood vessel segmentation from fundus image by a cascade classification framework
Xiaohong Wang et al.
PATTERN RECOGNITION (2019)
Mixed Maximum Loss Design for Optic Disc and Optic Cup Segmentation with Deep Learning from Imbalanced Samples
Yong-li Xu et al.
SENSORS (2019)
A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation
Ahsan Khawaja et al.
SENSORS (2019)
Hypertension Is Predicted by Both Large and Small Artery Disease: A Large Population-Based Study in Normotensive Adults
Kazuomi Kario et al.
HYPERTENSION (2019)
Robust retinal blood vessel segmentation using hybrid active contour model
Prakash Kumar Karn et al.
IET IMAGE PROCESSING (2019)
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks
Jaemin Son et al.
JOURNAL OF DIGITAL IMAGING (2019)
Development of an Automated Screening System for Retinopathy of Prematurity Using a Deep Neural Network for Wide-Angle Retinal Images
Yinsheng Zhang et al.
IEEE ACCESS (2019)
EMFN: Enhanced Multi-Feature Fusion Network for Hard Exudate Detection in Fundus Images
Xiaoxin Guo et al.
IEEE ACCESS (2019)
Joint Segment-Level and Pixel-Wise Losses for Deep Learning Based Retinal Vessel Segmentation
Zengqiang Yan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)
Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation
Huazhu Fu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Improved multi-scale line detection method for retinal blood vessel segmentation
Kejuan Yue et al.
IET IMAGE PROCESSING (2018)
Application of a deep convolutional neural network in the diagnosis of neonatal ocular fundus hemorrhage
Binbin Wang et al.
BIOSCIENCE REPORTS (2018)
Fundus Images-Based Detection and Grading of Macular Edema Using Robust Macula Localization
Adeel M. Syed et al.
IEEE ACCESS (2018)
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
Qiaoliang Li et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Segmenting Retinal Blood Vessels With Deep Neural Networks
Pawel Liskowski et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Image enhancement using multi scale image features extracted by top-hat transform
Xiangzhi Bai et al.
OPTICS AND LASER TECHNOLOGY (2012)
Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program
Christopher G. Owen et al.
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2009)
Ridge-based vessel segmentation in color images of the retina
J Staal et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
A Hoover et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2000)
分享论文
