Parallel Network - A Deep Learning Approach for Blood Vessel Segmentation in Retinal fundus Images
Author:
Affiliation:
1. Kongu Engineering College,Department of ECE,Erode,Tamil Nadu,India
2. Bannari Amman Institute of Technology,Department of CSE,Erode,Tamil Nadu,India
3. Kongu Engineering College, Perundurai,Department of ECE,Erode,Tamil Nadu
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9807685/9807649/09807958.pdf?arnumber=9807958
Reference28 articles.
1. A thresholding based technique to extract retinal blood vessels from fundus images
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift;ioffe,2015
3. RBVS-Net: A Robust Convolutional Neural Network for Retinal Blood Vessel Segmentation;kushol;IEEE ICIP,2015
4. Retinal blood vessel segmentation using fully convolutional network with transfer learning
5. Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation
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