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medai
software
mednet
Commits
c933798f
"README.md" did not exist on "0136721fff71ff09f7c6e1da88fcb200011dd559"
Commit
c933798f
authored
1 year ago
by
André Anjos
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[doc] Remove traces of signs-to-tb "model"
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!6
Making use of LightningDataModule and simplification of data loading
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doc/api.rst
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doc/api.rst
doc/config.rst
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doc/config.rst
doc/usage/training.rst
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doc/usage/training.rst
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doc/api.rst
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c933798f
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@@ -82,7 +82,7 @@ CNN and other models implemented.
ptbench.models.densenet
ptbench.models.normalizer
ptbench.models.logistic_regression
ptbench.models.
signs_to_tb
ptbench.models.
mlp
.. _ptbench.api.engines:
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doc/config.rst
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@@ -26,8 +26,8 @@ Models
ptbench.models.config.densenet_pretrained
ptbench.models.config.densenet_rs
ptbench.models.config.logistic_regression
ptbench.models.config.mlp
ptbench.models.config.pasa
ptbench.models.config.signs_to_tb
.. _ptbench.config.datamodules:
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doc/usage/training.rst
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@@ -61,12 +61,13 @@ Montgomery dataset:
ptbench train -vv logistic_regression montgomery_rs --batch-size=4 --epochs=20
To train Signs_to_TB using predictions from DensenetForRS on the Shenzhen
To train an multi-layer perceptron (MLP) using predictions from a densenet
pre-trained to detect radiological findings (using NIH CXR-14), on the Shenzhen
dataset:
.. code:: sh
ptbench train -vv
signs_to_tb
shenzhen_rs --batch-size=4 --epochs=20
ptbench train -vv
mlp
shenzhen_rs --batch-size=4 --epochs=20
.. include:: ../links.rst
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