A general-purpose Dataloader for Tensorflow 2.x. It supports many medical image formats.
Project description
Medical Images Dataloader
A general-purpose Dataloader for Tensorflow 2.x. It supports many medical image formats.
Free software: MIT license
Documentation: https://med-dataloader.readthedocs.io.
Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.6 (2021-05-06)
Improved flexibility for image data types. Now cache dimension reflects the actual dataset dimension.
0.1.5 (2021-04-30)
Added support for 3D files: now Dataloader automatically detects whether a file is 2D or 3D and returns the properly sized dataset. Please remember that med_dataloader returns tf.data.Dataset object for 2D tasks, 3D is not yet supported.
Added new notebook in examples folder.
0.1.4 (2021-04-29)
- Improved code flexibility:
It is possibile to choose which type of data augmentation is performed
Boundaries for data normalization can be set by the user
Images can be resized automatically by the user
Added basic_usage example also as a notebook
0.1.1 (2021-04-20)
Added code for package
Basic example of usage inside folder “examples”
Partial documentation
0.1.0 (2021-04-16)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for med_dataloader-0.1.6-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1531aef86245d84b0894f919724377d1ba9b8145a1028ee053ba4442234f16d9 |
|
MD5 | 194747d114bba03637fa0c71e13730ee |
|
BLAKE2b-256 | 542548bffc7b59ad69bb253265d4b3fcb1b91f0558eca6da8be3516787030b39 |