Retinal Images
Segmentation
Lua Ngo
January 29th 2018
Bionics and Photonics Lab. at Korea Univ.
Multi-level deep neural network for retinal fundus
image blood vessel segmentation
• A max-resizing multi-level network is used for segmenting the blood vessel in retinal fundus
image
Fig. 2 Evaluation accuracy and loss
Fig. 1 a Model architecture, b Max-resizing illustration
Fig. 3 Predicted results
Bionics and Photonics Lab. at Korea Univ.
Deep neural network regression for OCT image
segmentation
• Each boundary pixel is predicted as a regression analysis applied deep neural network by 3 fe
atures extracted, adaptive normalized intensity score, intensity and vertical gradient
Fig. 7 Segmentation procedure.
Fig. 9 Features extraction illustration.
Fig. 8 Training and testing process.
Bionics and Photonics Lab. at Korea Univ.
Thank you!
Bionics and Photonics Lab. at Korea Univ.