multi_med_image_ml

View on PyPIReverse Dependencies (0)

1.0.1 multi_med_image_ml-1.0.1-py3-none-any.whl

Wheel Details

Project: multi_med_image_ml
Version: 1.0.1
Filename: multi_med_image_ml-1.0.1-py3-none-any.whl
Download: [link]
Size: 739149
MD5: c17e86b3278e50f61f249c1189ca5233
SHA256: 3237ff560ef9350a06e15b3aaec1a8016e39cca79cfcbaaa6ab8955e5d608d6e
Uploaded: 2024-12-16 18:42:08 +0000

dist-info

METADATA

Metadata-Version: 2.4
Name: multi_med_image_ml
Version: 1.0.1
Summary: Deep learning library to encode multiple brain images and other electronic health record data in disease detection.
Author-Email: Matt Leming <mleming[at]mgh.harvard.edu>
Maintainer-Email: Matt Leming <mleming[at]mgh.harvard.edu>
Project-Url: Homepage, https://github.com/mleming/MultiMedImageML
License: MIT License
Keywords: biomedical,deep learning,ehr,machine learning,mri,pytorch
Requires-Python: >=3.8
Requires-Dist: adjusttext
Requires-Dist: datefinder
Requires-Dist: dcm2niix
Requires-Dist: dicom2nifti
Requires-Dist: gdown (>=4.4.0)
Requires-Dist: general-class-balancer
Requires-Dist: matplotlib (>=3.5.0)
Requires-Dist: monai (>=1.3.1)
Requires-Dist: nibabel (>=5.2.1)
Requires-Dist: numpy (>=1.22.0)
Requires-Dist: opencv-python (>=4.5.4)
Requires-Dist: pillow (>=9.3.0)
Requires-Dist: platformdirs
Requires-Dist: pyclustering
Requires-Dist: pydicom (>=2.4.4)
Requires-Dist: python-dateutil
Requires-Dist: requests (>=2.28.1)
Requires-Dist: scikit-image (>=0.19.3)
Requires-Dist: scikit-learn (>=1.2.0)
Requires-Dist: scipy (>=1.9.3)
Requires-Dist: torch (>=1.13.0)
Requires-Dist: torchvision (>=0.14.0)
Description-Content-Type: text/markdown
[Description omitted; length: 4352 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.27.0
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
multi_med_image_ml/DataBaseWrapper.py sha256=Ct-TjnEn2nPOoRvQovvPcv_DQZSK7xbeP5cmt5hcT44 15505
multi_med_image_ml/MedImageLoader.py sha256=90DTDw4lU1L8mT-45DGzGaQRBAnjXqptzNQX-aa7rt4 18649
multi_med_image_ml/MultiInputTester.py sha256=ey2EYN9MSF8ueReN42FdYp6Xs8WaJ0e_mU_12SAY-TM 47666
multi_med_image_ml/MultiInputTrainer.py sha256=3j1NyADRLWBnsCTtdOUnY7C6eajh9_wEEnx7kkY6A34 20198
multi_med_image_ml/Records.py sha256=K1xJVvVQtdff3Jxo4tlr0JPxs399EZgRo3zYkRtxaWM 20547
multi_med_image_ml/TripletLoss.py sha256=Q3gHDJmxVqDWQmVlsrC2KlRLcmcsnhZzC51Lk8jeecQ 4539
multi_med_image_ml/__init__.py sha256=bgighUQvxPH873Bvv9suhCL3WLFiiX0s15PIdVbOVC4 102
multi_med_image_ml/dcm2niix sha256=GGuCAbe0YhjXLfRX9r-CdUNBVAjHRIxXQIxULRRdvk8 1503288
multi_med_image_ml/models.py sha256=lGo574nFVjBAp752OOpuFKmys-sWVRbg4PKjeqQ6C80 58339
multi_med_image_ml/utils.py sha256=kOOtq5zl35-NuzgJnZSoUjmDA4Q7wnjIwmH22MePeH0 50492
multi_med_image_ml-1.0.1.dist-info/METADATA sha256=GzZyyR0RPUvVAVLM4eR191k45gI6fWOYZcn5nvad3tA 5858
multi_med_image_ml-1.0.1.dist-info/WHEEL sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ 87
multi_med_image_ml-1.0.1.dist-info/RECORD