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RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation

Khan, Tariq, Robles-Kelly, Antonio and Naqvi, SS 2021, RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation, in DICTA 2021 : Proceedings of the Digital Image Computing: Techniques and Application Conference, IEEE, Piscataway, N.J., pp. 606-612, doi: 10.1109/DICTA52665.2021.9647320.

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Title RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
Author(s) Khan, TariqORCID iD for Khan, Tariq orcid.org/0000-0002-7477-1591
Robles-Kelly, AntonioORCID iD for Robles-Kelly, Antonio orcid.org/0000-0002-2465-5971
Naqvi, SS
Conference name Digital Image Computing: Techniques and Applications. Conference (2021 : Gold Coast, Australia)
Conference location Gold Coast, Australia
Conference dates 2021/11/29 - 2021/12/01
Title of proceedings DICTA 2021 : Proceedings of the Digital Image Computing: Techniques and Application Conference
Editor(s) Zhou, J
Salvado, O
Sohel, F
Borges, P
Wang, S
Publication date 2021
Start page 606
End page 612
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) medical image sementation
convolutional neural networks
residual connections
CORE2020 Australasian B
ISBN 9781665417099
DOI 10.1109/DICTA52665.2021.9647320
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30163284

Document type: Conference Paper
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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