pretrained networks for deep learning applications

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Avants, Brian;Tustison, Nick

Description

Pretrained networks for a variety of problems.
WBIR networks are named wbir*
put them all in a folder called "models" then see create_wbir_models.R for how to load them
wbir_random_vgg_3d --- 3dvgg initialized with random weights
wbir_resnet_vgg_weights --- resnet trained to mimic 2d pseudo vgg activations
wbir_vggtrue3d -- 3d egg trained to mimic 2d pseudo vgg activations
wbir_brain_age_weights -- weights for brain age
wbir_pseudo_vgg_ -- 2d vgg transferred to 3d
qc networks

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

85%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

figshare

License

Apache 2.0

Assigned Domain

Subfield

Electrical and Electronic Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

30%

Source

Scholar Data Model

Keywords

Artificial Intelligence and Image ProcessingFOS: Computer and information sciences

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00