A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation.
Adegun Adekanmi AdeyinkaMarion Olubunmi AdebiyiNoah Oluwatobi AkandeRoseline Oluwaseun OgundokunAnthonia Aderonke KayodeTinuke Omolewa OladelePublished in: ICCSA (5) (2019)
Keyphrases
- retinal blood vessels
- retinal images
- deep learning
- low complexity
- video codec
- decoding process
- network architecture
- noisy channel
- fundus images
- distributed video coding
- image analysis
- wyner ziv video coding
- vessel segmentation
- error control
- level set
- image segmentation
- optic disc
- segmentation method
- multiscale
- bit rate
- successive approximation
- region merging
- region growing
- wyner ziv
- medical images
- fully automatic
- energy function