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DLMUSE

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0.0.1 DLMUSE-0.0.1-py3-none-any.whl

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Project: DLMUSE
Version: 0.0.1
Filename: DLMUSE-0.0.1-py3-none-any.whl
Download: [link]
Size: 14863
MD5: dc52d07cb82094b210569722d23752be
SHA256: c652f645a93391b36199e799d8d2e7c1d10bf6c678f8a3a541f594ec428cad5c
Uploaded: 2023-11-09 21:41:42 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: DLMUSE
Version: 0.0.1
Summary: DLMUSE - Deep Learning MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters
Author: Ashish Singh, Guray Erus, Vishnu Bashyam, George Aidinis
Author-Email: software[at]cbica.upenn.edu
Maintainer: George Aidinis
Maintainer-Email: aidinisg[at]pennmedicine.upenn.edu
Home-Page: https://github.com/CBICA/DLMUSE/
Download-Url: https://github.com/CBICA/DLMUSE/
License: By installing/using DeepMRSeg, the user agrees to the following license: See https://www.med.upenn.edu/cbica/software-agreement-non-commercial.html
Keywords: deep learning,image segmentation,semantic segmentation,medical image analysis,medical image segmentation,nnU-Net,nnunet
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Dist: nnunet (>=1.7.0)
Requires-Dist: torch (<2.1,>2.0)
Requires-Dist: nnunet (>=1.7.0); extra == "test"
Requires-Dist: torch (<2.1,>2.0); extra == "test"
Requires-Dist: pytest (>=7.0.0); extra == "test"
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3682 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.41.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
DLMUSE/VERSION sha256=axN4nkPlSFY0Uz3hamXYup00xMl1hYi2ZYBUNfgOsRU 5
DLMUSE/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
DLMUSE/__main__.py sha256=wBmEw7NJAUTink3cPdyUkvAjDAQ1PMZYTLDlmj1zR_A 3518
DLMUSE/compute_muse.py sha256=JXltiWmJMLYX2lXpjUDz1XUGF48l80Vo0tOqhbtHF3I 5068
DLMUSE/compute_volumes.py sha256=EXKpDxbkWWCrHgqfSOgOixMK2nxvg33hWTZQ9jzDjbI 5872
DLMUSE/dicts/MUSE_mapping_consecutive_indices.csv sha256=z25B3DISBZa-NJFDwOIQ8U7f8mRIf0rquZfe6pAYsrE 5361
DLMUSE/dicts/MUSE_mapping_derived_rois.csv sha256=lOEqJ4aTJIvgDTmlxpvrJYD-xDWKy9drDz4Fw2hDO6I 12459
DLMUSE-0.0.1.dist-info/LICENSE sha256=LXFvuEOXcCRitSbTPt7AgghfF4AyPicAVo5AZ0mcO88 145
DLMUSE-0.0.1.dist-info/METADATA sha256=iq-_T-ORXmNMTWgUNaru3mRxZsunBVjs0TgC0FNZXDw 5254
DLMUSE-0.0.1.dist-info/WHEEL sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A 92
DLMUSE-0.0.1.dist-info/entry_points.txt sha256=rI1BTqwaMQZ6ERDRme1x7jZvFVULWfWtF0HFBcfkwYU 48
DLMUSE-0.0.1.dist-info/top_level.txt sha256=sLBTyrrguZmZ378NaeZ9jI-1Ti-sedrwTYYaftdpNaM 7
DLMUSE-0.0.1.dist-info/RECORD — —

top_level.txt

DLMUSE

entry_points.txt

[console_scripts]
DLMUSE = DLMUSE.__main__:main