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Functions419 in github.com/black0017/MedicalZooPytorch

⨍ Functions 419◇ Types & classes 94

(self,device='cpu')

lib/medzoo/Unet2D.py:113

(self, device='cpu')

lib/medzoo/HyperDensenet.py:414

(self, device='cpu')

lib/medzoo/HyperDensenet.py:600

(self, device='cpu')

lib/medzoo/DenseVoxelNet.py:139

To be implemented by the subclass so that models can perform a forward propagation :return:

lib/medzoo/BaseModelClass.py:26

FunctiontestVAE

lib/medzoo/ResNet3D_VAE.py:299

Methodtest_PixelWiseCrossEntropyLoss

tests/test_losses3D.py:64

Functiontest_all_modules

lib/medzoo/HighResNet3D.py:198

Functiontest_dice

(args, epoch, model, testLoader, criterion)

lib/train/train_old.py:54

Functiontest_enc_dec

lib/medzoo/ResNet3D_VAE.py:284

Functiontest_padding

lib/visual3D_temp/viz.py:10

Functiontrain_dice

(args, epoch, model, trainLoader, optimizer, criterion)

lib/train/train_old.py:10

FunctionupSampleConv_Res

(nin, nout, upscale=2, bias=False, BN=False, ws=False, activ=nn.LeakyReLU(0.2))

lib/medzoo/HyperDensenet.py:58

Functionvisualize_no_overlap

this function will produce NON-overlaping sub-volumes prediction that produces full 3d medical image compare some slices with ground tru

lib/visual3D_temp/viz_old.py:42

Functionvisualize_offline

(args, epoch, model, full_volume, affine, writer)

lib/visual3D_temp/viz_old.py:5

Functionwrite_score

(writer, iter, loss_dice, dice_coeff, per_ch_score, mode="Train/")

lib/utils/writer_old.py:4

Functionwrite_score

(writer, dataset, iter, loss_dice, per_ch_score, mode="Train/")

lib/visual3D_temp/writer.py:12

Functionwrite_train_val_score

(writer, epoch, train_stats, val_stats)

lib/utils/writer_old.py:13

Functionwrite_train_val_score

(writer, epoch, train_stats, val_stats)

lib/visual3D_temp/writer.py:26

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