Metadata-Version: 2.3
Name: multi_med_image_ml
Version: 0.0.0
Summary: Deep learning library to encode multiple brain images and other electronic health record data in disease detection.
Project-URL: Homepage, https://github.com/mleming/MultiMedImageML
Author-email: Matt Leming <mleming@mgh.harvard.edu>
Maintainer-email: Matt Leming <mleming@mgh.harvard.edu>
License: MIT License
Keywords: biomedical,deep learning,ehr,machine learning,mri,pytorch
Requires-Python: >=3.8
Requires-Dist: datefinder
Requires-Dist: dateutil
Requires-Dist: dicom2nifti
Requires-Dist: monai
Requires-Dist: nibabel
Requires-Dist: numpy
Requires-Dist: opencv-python>=4.5.4
Requires-Dist: pillow
Requires-Dist: pydicom
Requires-Dist: scikit-image
Requires-Dist: scipy
Requires-Dist: sklearn
Requires-Dist: slideio==2.4.1
Requires-Dist: torch
Requires-Dist: torchvision
Description-Content-Type: text/markdown

Multi-Input Medical Image Machine Learning Toolkit
============================================

The Multi-Input Medical Image Machine Learning Toolkit (MultiMedImageML) is a library of Pytorch functions that can encode multiple 3D images (designed specifically for brain images) and offer a single- or multi-label output, such as a disease detection.

To install Multi Med Image ML, simply type into a standard UNIX terminal

    pip install multi-med-image-ml
