wrist-segmentation
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: vnikale
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.12 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
CNN-based wrist cartilage segmentation
This project contains sources code for the segmentation of wrist cartilage on MR-images for automatic volume quantification [1].
Examples of segmentation from [1]:
Project structure:
[comment]: <> (- ./input - folder containing data for training/testing )
[comment]: <> (- ./models - folder containing model's weights)
[comment]: <> (- ./notebooks - folder containing notebooks)
- ./configs - folder containing configs in .yaml format
- ./wrist_segmentation - folder containing source files
- ./wrist_segmentation/models - sources of models
- ./wrist_segmentation/data - sources of data manipulating
- ./wrist_segmentation/utils - sources of utilities scripts
- ./output - folder containing output files e.g. plots etc
Installation
[comment]: <> (TODO: upadting and etc)
In order to install the project you should have installed pip and use the following command inside the repo folder:
pip install -e .
It will install the project with requirements.
It recommended installing it in a separated virtual env or a conda env.
Owner
- Name: Nikita Vladimirov
- Login: vnikale
- Kind: user
- Location: Tel Aviv
- Repositories: 2
- Profile: https://github.com/vnikale