Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature

Khan, Tariq, Robles-Kelly, Antonio, Naqvi, SS and Arsalan, M 2021, Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature, in S+SSPR 2021 : Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR Workshops Proceedings, Springer, Cham, Switzerland, pp. 324-333, doi: 10.1007/978-3-030-73973-7_31.

Attached Files
Name Description MIMEType Size Downloads

Title Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature
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
Arsalan, M
Conference name Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition. Joint Conference (2021 : Padua, Italy)
Conference location Padua, Italy
Conference dates 21-22 Jan. 2021
Title of proceedings S+SSPR 2021 : Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR Workshops Proceedings
Editor(s) Torsello, A
Rossi, L
Pelillo, M
Biggio, B
Robles-Kelly, AORCID iD for Robles-Kelly, A orcid.org/0000-0002-2465-5971
Publication date 2021
Series Lecture Notes in Computer Science
Start page 324
End page 333
Total pages 10
Publisher Springer
Place of publication Cham, Switzerland
Keyword(s) Retinal vessel segmentation
Convolutional neural networks
Diabetic retinopathy
CORE2020 A
ISBN 9783030739720
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-030-73973-7_31
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151499

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 13 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Wed, 19 May 2021, 11:18:07 EST

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.