Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Computer-aided retinal vessel segmentation in retinal images: convolutional neural networks
Authors
Keywords
-
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-23
DOI
10.1007/s11042-020-09372-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The visual object tracking algorithm research based on adaptive combination kernel
- (2019) Yuantao Chen et al. Journal of Ambient Intelligence and Humanized Computing
- Dense U-net Based on Patch-Based Learning for Retinal Vessel Segmentation
- (2019) Chang Wang et al. Entropy
- An improved vessel extraction scheme from retinal fundus images
- (2019) Ranjit Ghoshal et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Deepside: A general deep framework for salient object detection
- (2019) Keren Fu et al. NEUROCOMPUTING
- Multiscale fast correlation filtering tracking algorithm based on a feature fusion model
- (2019) Yuantao Chen et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics
- (2018) Sara Moccia et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
- (2018) Yanhui Guo et al. MEASUREMENT
- Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey
- (2017) Toufique Ahmed Soomro et al. PATTERN ANALYSIS AND APPLICATIONS
- Segmenting Retinal Blood Vessels With _newline Deep Neural Networks
- (2016) Pawel Liskowski et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic wavelet-based retinal blood vessels segmentation and vessel diameter estimation
- (2012) Abdolhossein Fathi et al. Biomedical Signal Processing and Control
- An effective retinal blood vessel segmentation method using multi-scale line detection
- (2012) Uyen T.V. Nguyen et al. PATTERN RECOGNITION
- An approach to localize the retinal blood vessels using bit planes and centerline detection
- (2011) M.M. Fraz et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
- (2011) Xinge You et al. PATTERN RECOGNITION
- Automatic model-based tracing algorithm for vessel segmentation and diameter estimation
- (2010) Konstantinos K. Delibasis et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Retinal vessel extraction by matched filter with first-order derivative of Gaussian
- (2010) Bob Zhang et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features
- (2010) D Marín et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search