medical
Here are 863 public repositories matching this topic...
In augmentation, elastic_transform, it only applies a random transform on one input image array. I would think to be used for training, the image and mask pair should be transform in the same way. However, this single-input-image, single-output-image method makes it very inconvenient. Could we deform a list of images (np.arrays) using the same transformation in this method ? Thanks!
-
Updated
May 5, 2022
-
Updated
Jan 4, 2022
-
Updated
May 13, 2022 - C#
-
Updated
Feb 20, 2022
-
Updated
Feb 5, 2021 - JavaScript
-
Updated
Mar 17, 2022 - Python
-
Updated
Apr 1, 2022 - JavaScript
-
Updated
Apr 19, 2022 - Jupyter Notebook
Apply the changes from sofa-framework/sofa#2908 in all linear FEM force fields
-
Updated
May 19, 2022 - Jinja
-
Updated
Feb 10, 2022 - Jupyter Notebook
-
Updated
May 13, 2022
-
Updated
Dec 5, 2021 - Python
-
Updated
Mar 6, 2022 - Jupyter Notebook
-
Updated
Apr 1, 2022 - Python
-
Updated
Apr 1, 2022 - Python
-
Updated
May 19, 2022 - JavaScript
-
Updated
Apr 25, 2022 - Kotlin
-
Updated
Jun 25, 2021 - Python
-
Updated
Apr 1, 2019 - TeX
-
Updated
Sep 16, 2021 - Python
-
Updated
May 2, 2022 - Python
-
Updated
Sep 26, 2019 - Python
-
Updated
Oct 29, 2019 - Python
-
Updated
Oct 25, 2021 - Dart
Improve this page
Add a description, image, and links to the medical topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the medical topic, visit your repo's landing page and select "manage topics."
Describe the bug
concise description of what the bug is on the forum