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

Khan, Tariq; Robles-Kelly, Antonio; Naqvi, S S

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

Version 2 2024-06-05, 00:36

Version 1 2022-02-24, 14:34

conference contribution

posted on 2021-01-01, 00:00 authored by Tariq Khan, Antonio Robles-KellyAntonio Robles-Kelly, S S Naqvi

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

History

Event

Digital Image Computing: Techniques and Applications. Conference (2021 : Gold Coast, Australia)

Pagination

606 - 612

Publisher

IEEE

Location

Gold Coast, Australia

Place of publication

Piscataway, N.J.

Publisher DOI

https://doi.org/10.1109/DICTA52665.2021.9647320

Start date

2021-11-29

End date

2021-12-01

ISBN-13

9781665417099

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Jun Zhou, Olivier Salvado, Ferdous Sohel, Paulo Borges, Shilin Wang

Title of proceedings

DICTA 2021 : Proceedings of the Digital Image Computing: Techniques and Application Conference

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Keywords

medical image sementation convolutional neural networks residual connections Science & Technology Technology Computer Science, Artificial Intelligence Imaging Science & Photographic Technology Computer Science Medical Image Segmentation BLOOD-VESSELS IMAGES CORE2020 Australasian B

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

History

Event

Pagination

Publisher

Location

Place of publication

Publisher DOI

Start date

End date

ISBN-13

Publication classification

Editor/Contributor(s)

Title of proceedings

Usage metrics

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Keywords

Licence

Exports