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Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation

Khan, Tariq, Alhussein, M., Aurangzeb, K., Arsalan, M., Naqvi, S.S. and Nawaz, S.J. 2020, Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation, IEEE Access, vol. 8, pp. 131257-131272, doi: 10.1109/ACCESS.2020.3008899.

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Title Residual Connection-Based Encoder Decoder Network (RCED-Net) for Retinal Vessel Segmentation
Author(s) Khan, TariqORCID iD for Khan, Tariq orcid.org/0000-0002-7477-1591
Alhussein, M.
Aurangzeb, K.
Arsalan, M.
Naqvi, S.S.
Nawaz, S.J.
Journal name IEEE Access
Volume number 8
Start page 131257
End page 131272
Total pages 16
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Retinal vessel segmentation
convolutional neural network
pixel-wise semantic segmentation
skip connection
low-level semantic information
residual edge information
BLOOD-VESSELS
MATCHED-FILTER
IMAGES
EXTRACTION
LEVEL
MODEL
Language eng
DOI 10.1109/ACCESS.2020.3008899
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30144325

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.