tomvars / medical_adv_da Public

Repository containing domain adaptation methods using PyTorch and MONAI

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
config		config
src		src
.gitignore		.gitignore
Dockerfile		Dockerfile
Dockerfile-orig		Dockerfile-orig
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
adversarial_domain_adaptation.py		adversarial_domain_adaptation.py
build.sh		build.sh
dataset_split_crossmoda_source.csv		dataset_split_crossmoda_source.csv
dataset_split_crossmoda_target.csv		dataset_split_crossmoda_target.csv
dataset_split_inference.csv		dataset_split_inference.csv
dataset_split_isbi.csv		dataset_split_isbi.csv
dataset_split_mscombined.csv		dataset_split_mscombined.csv
inference.py		inference.py
main.py		main.py
pairwise_measures.py		pairwise_measures.py
rand_bias_field.py		rand_bias_field.py
rand_hist_norm.py		rand_hist_norm.py
rand_kspace.py		rand_kspace.py
requirements.txt		requirements.txt
retina_fpn.py		retina_fpn.py
run.sh		run.sh
run_inference.py		run_inference.py
training.py		training.py