MIScnn
MIScnn copied to clipboard
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
- add missing "overlay_segmentation"-function - adjust function calls with necessary num_classes-value - add seaborn package for color palette generation - add seaborn package in the requirements.txt file
In processing/preprocessor.py it says on the **patch_shape value** documentation: "This parameter will be redundant if fullimage or patchwise-crop analysis is selected!!". But in the __init__-function, the patch-shape parameter check fires...
Bumps [numpy](https://github.com/numpy/numpy) from 1.19.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Hi, the "overlay_segmentation"-Function is missing in miscnn/utils/visualizer.py which was used by the "visualize_samples"-Function. I think the "overlay_segmentation"-Function was renamed to "overlay_segmentation_greyscale" but the references was not updated. Regards, Adrian
Greetings, I am trying to install this on MacOS (12.2.1 - Monterey). I am installing the package using the following commands: 1. Install brew 1': brew doctor 1'': brew install...
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.7.0 to 2.7.2. Release notes Sourced from tensorflow's releases. TensorFlow 2.7.2 Release 2.7.2 This releases introduces several vulnerability fixes: Fixes a code injection in saved_model_cli (CVE-2022-29216) Fixes...
Bumps [pillow](https://github.com/python-pillow/Pillow) from 8.3.2 to 9.0.1. Release notes Sourced from pillow's releases. 9.0.1 https://pillow.readthedocs.io/en/stable/releasenotes/9.0.1.html Changes In show_file, use os.remove to remove temporary images. CVE-2022-24303 #6010 [@radarhere, @hugovk] Restrict builtins within...
Hi and good day @muellerdo , I have managed to train a 3D U-Net for KiTS21 dataset, and would like to try with a 2D U-Net. Attached below is my...
Hi and good day, Thank you for the wonderful repo which has been super user friendly. I would like to extend a question on Model.Train vs Cross Validation, where the...