Wheelodex » Projects » miscnn

miscnn

View on PyPI — Reverse Dependencies (0)

1.4.0 miscnn-1.4.0-py3-none-any.whl

Wheel Details

Project: miscnn
Version: 1.4.0
Filename: miscnn-1.4.0-py3-none-any.whl
Download: [link]
Size: 161828
MD5: 83ce5daba232e25d818ef19a1a8cecb6
SHA256: 52a0bdd0652d2657250889f35bf9633eaacf3934f7d6da2a050bd3d966a03643
Uploaded: 2022-02-11 15:12:53 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: miscnn
Version: 1.4.0
Summary: Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Author: Dominik Müller
Author-Email: dominik.mueller[at]informatik.uni-augsburg.de
Home-Page: https://github.com/frankkramer-lab/MIScnn
License: GPLv3
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.7
Requires-Dist: tensorflow (==2.7.0)
Requires-Dist: tensorflow-addons (==0.15.0)
Requires-Dist: numpy (==1.19.2)
Requires-Dist: pandas (>=1.1.4)
Requires-Dist: tqdm (==4.51.0)
Requires-Dist: nibabel (>=3.1.0)
Requires-Dist: matplotlib (==3.3.1)
Requires-Dist: pillow (==8.3.2)
Requires-Dist: batchgenerators (==0.21)
Requires-Dist: pydicom (==2.0.0)
Requires-Dist: SimpleITK (==2.0.2)
Requires-Dist: scikit-image (==0.18.2)
Description-Content-Type: text/markdown
[Description omitted; length: 3264 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
miscnn/__init__.py sha256=3M7mofMZ_ad-0y8PC7VvWZUQQpLuNSkz8dQ_3wq5foY 1699
miscnn/cli/__init__.py sha256=IFJz9NpNGkrQe456Eahc2kyjqhyKghAeAUAs1VoPA0M 1455
miscnn/cli/__main__.py sha256=b-t2g2xfemUtlTgFXK_NObHxN_u2DRkOx-OnQ5tIApE 4857
miscnn/cli/data_exploration.py sha256=Rc_-upKJVecg3qUiNb5dDnXbQbIdXJKcmLWoaFuiUk0 19071
miscnn/data_loading/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/data_loading/data_io.py sha256=zQbJLSIpnAy7N_WctPrHEIXmkrFGqUpnDt4XEyhUU7g 13200
miscnn/data_loading/sample.py sha256=OkGmIzK0Ul_lzbNmTVo2ELC8HY-JBhPML2Y3VMu54NQ 3221
miscnn/data_loading/interfaces/__init__.py sha256=coJbYrRT71wJFyttd_-yMGKre4RWvnmLdjNw3DBcl38 2196
miscnn/data_loading/interfaces/abstract_io.py sha256=7y_BST89HMdrCB6mU4MkPyy88i3T6GW8Z1xlLYxcA1c 7651
miscnn/data_loading/interfaces/dicom_io.py sha256=xGURxw6KyFMU2PBuEOHA4knkydBSO1Zz5WtFoNMU12A 17653
miscnn/data_loading/interfaces/dictionary_io.py sha256=XhduYi-ysw23RO3Y4KrwvXbwXs1UUuUp4jrkPhI9_Ro 5392
miscnn/data_loading/interfaces/image_io.py sha256=4zSoORX_ED-6PD0i7HcELI8fJ6wa_Mist2LbjG6fthc 8680
miscnn/data_loading/interfaces/nifti_io.py sha256=EO5fbASNLZWPJony4EdZIoGF9XxkOTt0xIIvaOcnpJE 8377
miscnn/data_loading/interfaces/nifti_slicer_io.py sha256=M4SI8nCdSr3dxw2FIMW-upGqikJCZwboROM_6ehM3PY 8611
miscnn/ensembler/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/ensembler/mean.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
miscnn/evaluation/__init__.py sha256=dELa8LLi7Ph02zMemhhqzkI_lX6_WgvJfW3c1glKiwU 1645
miscnn/evaluation/cross_validation.py sha256=I2D-Q-aiPTC45z2INcm7cY1Jrqd5ocWpNK_zzEKhd4w 11362
miscnn/evaluation/detailed_validation.py sha256=mImC4qAPIePA-AtbLwHMbguLgXnqU-VOOldSnle5lIk 4796
miscnn/evaluation/leave_one_out.py sha256=vsSCupxxHyUnltKFa6PcC-y0M3B_dBEq3BRFGgVwfls 3548
miscnn/evaluation/split_validation.py sha256=1gQflvoa5CWGECzzkzAvdUO_KedwitIz3Um2j2wLhY0 5614
miscnn/multi_model/__init__.py sha256=X98uormzdqAZTw57HnsedJlJe5Za90vvizAHGbCtMsU 1459
miscnn/multi_model/cross_validation_group.py sha256=EGL63xCBQS73493WQZnY0-M0OfyRVnIaj5CR6D0MmRM 5901
miscnn/multi_model/model.py sha256=maobdGEFv5v6V0TVgN6dzxo8g__xEsYNk3A7py17bko 3844
miscnn/multi_model/model_group.py sha256=YeyL4I83nhrauz4y7pK1tVf9TjKNcdbaU7q_fIfZXek 12166
miscnn/neural_network/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/neural_network/data_generator.py sha256=SywmQph-D3eOAvMF6j22QzJdZtAKKcvMpELgXyRgHmY 8145
miscnn/neural_network/metrics.py sha256=fHvrIi75xE4qGy5FwLtPp3CrEqvHSvuX75s9nKY2vDw 23935
miscnn/neural_network/model.py sha256=WujZ51MDFMa5PDupENciRGqD0JH6MeGUi6Xxon_J1t4 17992
miscnn/neural_network/architecture/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/neural_network/architecture/abstract_architecture.py sha256=ykz76r9EXnY4BtO2vlwFLKTxGxqZotMaa4DumPwL4P8 4561
miscnn/neural_network/architecture/unet/__init__.py sha256=FwxYnTdN4r1dP5miznNuqO8LibrgJrgCVbi4RTWarCs 2195
miscnn/neural_network/architecture/unet/attention.py sha256=s27IVv_jKtLtxP-VcQPhWhjC4go4L9wQHGieITMoedQ 14318
miscnn/neural_network/architecture/unet/attention_residual.py sha256=Jk1UhZQppbd-8Ysd9lzKuJn6TD_msGhzqv-gO1890Z0 14993
miscnn/neural_network/architecture/unet/compact.py sha256=wlhdt0UyFYBJ2fq3T6MbwhRLKBj9hvDEI9ieQUFbpa8 10919
miscnn/neural_network/architecture/unet/dense.py sha256=8Q4KeezkAwZJzJw9HuARhRwTFvbINfm6Cvk99y5kSgY 11198
miscnn/neural_network/architecture/unet/multiRes.py sha256=swd23JKxEKIl5gQJvY1n1_F1_YdEVTqanUEJjRijnWQ 15708
miscnn/neural_network/architecture/unet/plain.py sha256=9psOV7UTVrlIdUW7tun4137nN4EuuibzuS3vYoLEBo4 11363
miscnn/neural_network/architecture/unet/residual.py sha256=ZWSb-sWx3DXGhhL21RNajMC8RXUJoHQGVC4xYDrzvNY 11350
miscnn/neural_network/architecture/unet/standard.py sha256=h19gXOism2-yWjCNHNWppfq-ZEeg_sOLxaZ0gIlq1pk 10385
miscnn/processing/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/processing/batch_creation.py sha256=DZC61LWcbMFNFoxhV2AvDHb1VqrP39t-9aOKWpwh4nU 5565
miscnn/processing/data_augmentation.py sha256=OkOcMPqugRKCz1TylCgmtcDVX8KIiICwCwWXaKKVCXg 12687
miscnn/processing/preprocessor.py sha256=wt0w5jmoMbna8kAOD6xpu-o2xTz1n89F933EZbq842U 22830
miscnn/processing/subfunctions/__init__.py sha256=e9iUERcxh55tMwEsm1tbKZLGUKsYw1fx_Y6CmY0rusQ 1840
miscnn/processing/subfunctions/abstract_subfunction.py sha256=Y3RyFC3SkmC9V94a1Hg9JltnYJmeQOZsmPqWK-llpdA 5024
miscnn/processing/subfunctions/clipping.py sha256=RXM46I1bENozs7eXIR_9ttw3nu0KH51hsH8238GpnY8 3193
miscnn/processing/subfunctions/normalization.py sha256=qDjX4Qe9gL1lXcbMJ-FGrbh0a9JjS43Akr1M95sq6cw 4518
miscnn/processing/subfunctions/padding.py sha256=wOco5NaXrkFRa1-rux67nuC3thdogrnB6PXO9DiQsAY 6224
miscnn/processing/subfunctions/resampling.py sha256=JAPtXKrA09UbmdN__Ikac-P7PXncXImb6jAh9nIw1ZE 6274
miscnn/processing/subfunctions/resize.py sha256=GGidg_dmTnRkY91K0df1jnHZA85CIDMh34UkK-ks46g 5666
miscnn/processing/subfunctions/transform_HU.py sha256=_7oMXiy4gJKCosYmKTd94a-r7y0cNl51ZpyXYfivKgA 5385
miscnn/utils/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
miscnn/utils/estimate_resampling.py sha256=W-lFW62sSouLsC04qjdKH2Owht0936yKIM_9aYio4FA 3879
miscnn/utils/patch_operations.py sha256=Y2fGnfJTezpjxPXVawXZ6SKauSW1zTuT62kaSK0_bPE 14770
miscnn/utils/plotting.py sha256=KEBSNsZo3sTbUEFFs4u6C4iH4ZNggeoZ4INuR5M3FzE 5111
miscnn/utils/visualizer.py sha256=ZqZi9O9rNodeAP3BQ19Wmii7oha3EIiJA1an54d70s0 14324
tests/__init__.py sha256=CJSQFjkaFQJclfVxRTSIn1v4qCV6RROFZmgy_xfoCVo 1459
tests/test_architectures.py sha256=oF6AU_2hUPCK0UO2q3kBFhSz9rWFIwVTqfDsj_PcNic 8622
tests/test_cli.py sha256=YN4gRSeOWXgetANY2KH7Xczqc4gE0_q9-favixag0P8 7718
tests/test_dataaugmentation.py sha256=cTB11ZblJ4ETH4osbGCrZ2C6hgIEMJK2jVihjCXhgdE 11715
tests/test_datagenerator.py sha256=Ut9MBl_67V4wr1EnUbL2zdGsvalyzRnw5D7CV7dPBZk 12640
tests/test_dataio.py sha256=9rBavO2sHnGQD0UALESnxarVYHjpxiwpF5efAcDCQ9g 11895
tests/test_ensemblelearning.py sha256=Mp8VSrzsh-jII5uics6qLc762UvThGCjODapmu0dIik 7397
tests/test_evaluations.py sha256=G3DbZUDorXISSxqVzUZSIl5y1Ia9va3IHOKCjHMT_Bo 8469
tests/test_iointerfaces.py sha256=Y0M2DkteygiY0dL9wELe8c76qlNdHa85TrRme2Kvv4U 11189
tests/test_metrics.py sha256=AhMgmNckTMIBxGhToeBvcAbLEpEniT5uXvrCXTEypJE 9867
tests/test_multimodel.py sha256=VM76SNOf9zxx8U4J4xiX9NMSWmwUWTTNhT9xHSKogHA 7932
tests/test_neuralnetwork.py sha256=8PfSiIlGzHfF4HB8W8_nPunsAUgpMVPzUAIiC_yGtw4 11256
tests/test_patchoperations.py sha256=dOzRfS318KlRUCQbIfGuyZ0zznOfF8OJN50DUlaiUG8 8820
tests/test_preprocessor.py sha256=OgadAYqbDTwhQk5T8jDTH0Qc6RM3vva8ffIohQMHHMo 17914
tests/test_subfunctions.py sha256=zkGE36YBxzwIH-YvWrhzNhSaphmJuy5i08adzM-RtH8 28537
miscnn-1.4.0.dist-info/LICENSE.md sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
miscnn-1.4.0.dist-info/METADATA sha256=8ZLZhQ4ARHsbk4rFN1XLXb9XvVA77PZL7lH9zy0QR3U 4654
miscnn-1.4.0.dist-info/WHEEL sha256=EVRjI69F5qVjm_YgqcTXPnTAv3BfSUr0WVAHuSP3Xoo 92
miscnn-1.4.0.dist-info/top_level.txt sha256=40Lg3hrvRl3ks4dGI87-lgaafqCH1YSyKbiE1YSVarc 13
miscnn-1.4.0.dist-info/RECORD — —

top_level.txt

miscnn
tests