GitHub - ajoshiusc/QRSegment: PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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PyTorch implementation of the U-Net for image semantic segmentation with high quality images

GPL-3.0 license

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Name		Name	Last commit message	Last commit date
Latest commit History 180 Commits
.github/workflows		.github/workflows
data		data
prob_unet/Probabilistic-Unet-Pytorch-master		prob_unet/Probabilistic-Unet-Pytorch-master
scripts		scripts
unet		unet
util		util
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
QR_dice_LIDC.py		QR_dice_LIDC.py
QR_dice_LIDC64.py		QR_dice_LIDC64.py
QR_performance_evaluation.py		QR_performance_evaluation.py
QR_performance_evaluation_LIDC.py		QR_performance_evaluation_LIDC.py
QR_performance_evaluation_LIDC_4Q.py		QR_performance_evaluation_LIDC_4Q.py
QR_performance_evaluation_caravan.py		QR_performance_evaluation_caravan.py
QR_performance_evaluation_cones.py		QR_performance_evaluation_cones.py
QR_performance_evaluation_isle.py		QR_performance_evaluation_isle.py
README.md		README.md
bce_dice_LIDC64.py		bce_dice_LIDC64.py
both_dice_LIDC.py		both_dice_LIDC.py
evaluate.py		evaluate.py
hubconf.py		hubconf.py
make_cones_data.py		make_cones_data.py
plot_results.py		plot_results.py
plot_results_isle.py		plot_results_isle.py
plot_results_lidc.py		plot_results_lidc.py
plot_results_lidc_4q.py		plot_results_lidc_4q.py
plot_results_lidc_bce.py		plot_results_lidc_bce.py
predict.py		predict.py
prob_QRunet_models_dice_LIDC.py		prob_QRunet_models_dice_LIDC.py
prob_QRunet_models_dice_cones.py		prob_QRunet_models_dice_cones.py
prob_unet_models_dice_LIDC.py		prob_unet_models_dice_LIDC.py
probabilistic_QRunet.py		probabilistic_QRunet.py
probabilistic_QRunet_warmup.py		probabilistic_QRunet_warmup.py
probabilistic_unet.py		probabilistic_unet.py
probvae.job		probvae.job
requirements.txt		requirements.txt
run_qr.sh		run_qr.sh
save_LIDC_data.py		save_LIDC_data.py
save_isle2npz.py		save_isle2npz.py
split_isle		split_isle
split_isle.py		split_isle.py
train.py		train.py
train_LIDC.py		train_LIDC.py
train_LIDC_prob_unet.py		train_LIDC_prob_unet.py
train_LIDC_qr_prob_unet.py		train_LIDC_qr_prob_unet.py
train_LIDC_qr_prob_unet_cones.py		train_LIDC_qr_prob_unet_cones.py
train_LIDC_qr_prob_unet_warmup.py		train_LIDC_qr_prob_unet_warmup.py
train_bce_test.py		train_bce_test.py
train_cone_sim.py		train_cone_sim.py
train_qr.py		train_qr.py
train_qr_BCE_4Q.py		train_qr_BCE_4Q.py
train_qr_BCE_4Q_1000.py		train_qr_BCE_4Q_1000.py
train_qr_BCE_4Q_250.py		train_qr_BCE_4Q_250.py
train_qr_BCE_4Q_2500.py		train_qr_BCE_4Q_2500.py
train_qr_BCE_4Q_500.py		train_qr_BCE_4Q_500.py
train_qr_BCE_4Q_5000.py		train_qr_BCE_4Q_5000.py
train_qr_BCE_4Q_all.py		train_qr_BCE_4Q_all.py
train_qr_ISLE.py		train_qr_ISLE.py
train_qr_LIDC.py		train_qr_LIDC.py
train_qr_LIDC_4Q.py		train_qr_LIDC_4Q.py
train_qr_LIDC_4Q_1000.py		train_qr_LIDC_4Q_1000.py
train_qr_LIDC_4Q_250.py		train_qr_LIDC_4Q_250.py
train_qr_LIDC_4Q_2500.py		train_qr_LIDC_4Q_2500.py
train_qr_LIDC_4Q_500.py		train_qr_LIDC_4Q_500.py
train_qr_LIDC_4Q_5000.py		train_qr_LIDC_4Q_5000.py
train_qr_LIDC_4Q_all.py		train_qr_LIDC_4Q_all.py
train_qr_LIDC_anandscost.py		train_qr_LIDC_anandscost.py
train_qr_carvana.py		train_qr_carvana.py
train_qr_cone_sim.py		train_qr_cone_sim.py
unet_blocks.py		unet_blocks.py
unet_prob.py		unet_prob.py
utils.py		utils.py