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Leaf Vein CNN Software

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Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Principal Investigator (PI), Depositor, Creator
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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Role:
Co-Investigator, Creator
ORCID:
0000-0002-5061-2385
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Creator, Author
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Funding agency for:
Blonder, B
Grant:
NE/M019160/1
NE/M019160/1
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Funding agency for:
Blonder, B
Grant:
RGP0053/2012
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Funding agency for:
Blonder, B
Grant:
DEB-2025282
DEB-2025282
DEB-1840209
Publisher:
University of Oxford
Publication date:
2020
Version number:
v1.0.07
DOI:
Language:
english
Keywords:
Subjects:
Documentation:
Software to extract and analyse leaf vein networks using convolutional neural networks. LeafVeinCNN.mlappinstall - installs the software and trained CNN models as a matlab app (requires Matlab 2020a or later) LeafVeinCNN.exe - installs the software and trained CNN models as a standalone package for Windows 10. This will automatically download the Matlab runtime library from the web during installation. LeafVeinCNN_Manual.pdf - A user manual describing installation and use of the software.
Deposit date:
2020-08-29

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