M-GAN: Retinal Blood Vessel Segmentation by Balancing Losses Through Stacked Deep Fully Convolutional Networks

M-GAN: Retinal Blood Vessel Segmentation by Balancing Losses Through Stacked Deep Fully Convolutional Networks

Until now, the human expert segments retinal blood vessels manually in fundus images to inspect human retinal-related diseases, such as diabetic retinopathy and vascular occlusion. Recently, many studies were conducted for automatic retinal vessel segmentation from fundus images through supervised a...

Full description

Bibliographic Details
Main Authors: Kyeong-Beom Park, Sung Ho Choi, Jae Yeol Lee
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Retinal blood vessel segmentation
medical imaging
generative adversarial networks (GAN)
conditional GAN
stacked deep fully convolutional networks
Online Access:https://ieeexplore.ieee.org/document/9162010/

Internet

https://ieeexplore.ieee.org/document/9162010/

Similar Items