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GitHub / AICONSlab / HippMapp3r
AICONSlab's hippocampal segmentation algorithm using CNNs
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AICONSlab%2FHippMapp3r
Stars: 29
Forks: 10
Open Issues: 25
License: gpl-3.0
Language: Python
Repo Size: 19.6 MB
Dependencies:
144
Created: over 5 years ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: brain, cnn, deep-learning, hippocampus, image-processing, image-segmentation, medical-imaging, mri, neural-networks, neuroimaging, neuroscience, python3
Files
Dependencies
- Click ==7.0
- Cython ==0.29.2
- Jinja2 ==2.10
- Keras ==2.1.2
- Keras-Applications ==1.0.6
- Keras-Preprocessing ==1.0.5
- Markdown ==3.0.1
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- Pillow ==5.3.0
- PyNaCl ==1.2.1
- PyYAML ==5.3.1
- Pygments ==2.3.1
- Send2Trash ==1.5.0
- SimpleITK ==1.0.1
- Werkzeug ==0.14.1
- absl-py ==0.5.0
- arff ==0.9
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- asn1crypto ==0.24.0
- astor ==0.7.1
- backcall ==0.1.0
- backports-abc ==0.5
- backports.shutil-get-terminal-size ==1.0.0
- bcrypt ==3.1.4
- bitstring ==3.1.5
- bleach ==1.5.0
- blist ==1.3.6
- certifi ==2018.11.29
- cffi ==1.11.5
- chardet ==3.0.4
- cryptography ==2.4.2
- cycler ==0.10.0
- deap ==1.2.2
- decorator ==4.3.0
- ecdsa ==0.13
- entrypoints ==0.2.3
- funcsigs ==1.0.2
- future ==0.17.1
- gast ==0.2.0
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- h5py ==2.8.0
- html5lib ==0.9999999
- idna ==2.8
- importlib-metadata ==0.8
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- ipython ==6.5.0
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- jsonschema ==2.6.0
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- lockfile ==0.12.2
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- python-dateutil ==2.8.0
- pytz ==2019.1
- pyzmq ==17.1.2
- rdflib ==4.2.2
- requests ==2.21.0
- retrying ==1.3.3
- scikit-learn ==0.20.0
- scipy ==1.1.0
- simplegeneric ==0.8.1
- simplejson ==3.16.0
- singledispatch ==3.4.0.3
- six ==1.11.0
- sympy ==1.3
- tables ==3.4.2
- tensorboard ==1.11.0
- tensorflow ==1.3.0
- tensorflow-tensorboard ==0.1.8
- termcolor ==1.1.0
- terminado ==0.8.1
- testpath ==0.3.1
- tornado ==5.1.1
- traitlets ==4.3.2
- traits ==4.6.0
- urllib3 ==1.24.1
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.4.2
- zipp ==0.3.3
- PyQt5 *
- SimpleITK *
- argcomplete *
- argparse *
- joblib *
- keras ==2.1.2
- keras-contrib *
- nibabel *
- nilearn *
- nipype *
- numpy *
- pandas *
- plotly *
- scikit-learn *
- ubuntu 16.04 build