Channel Attention Enhanced Deep Network for Segmenting Exudate
Author:
Affiliation:
1. Jadavpur University,Department of Electrical Engineering,Kolkata,India
2. Haldia Institute of Technology,Department of Electrical Engineering,Haldia,India
3. National Institute of Technology,Department of Electrical Engineering,Durgapur,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10077526/10077615/10077654.pdf?arnumber=10077654
Reference30 articles.
1. Deep Retinal Image Segmentation: A FCN-Based Architecture with Short and Long Skip Connections for Retinal Image Segmentation
2. Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation in Colour Fundus Images
3. Automated segmentation of exudates, haemorrhages, microaneurysms using single convolutional neural network
4. Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion
5. Exudate detection in color retinal images for mass screening of diabetic retinopathy
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