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GitHub / HealthML / active-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HealthML%2Factive-segmentation
Stars: 14
Forks: 1
Open Issues: 9
License: agpl-3.0
Language: Python
Repo Size: 3 MB
Dependencies:
116
Created: over 2 years ago
Updated: 10 months ago
Last pushed: almost 2 years ago
Last synced: 9 months ago
Topics: 3d-image-segmentation, active-learning, deep-learning, medical-image-segmentation, medical-imaging, pytorch, pytorch-lightning, semantic-segmentation
Files
Dependencies
- absl-py ==1.0.0
- aiohttp ==3.8.1
- aiosignal ==1.2.0
- alabaster ==0.7.12
- async-timeout ==4.0.1
- babel ==2.9.1
- beautifulsoup4 ==4.10.0
- cachetools ==4.2.4
- charset-normalizer ==2.0.7
- configparser ==5.1.0
- docker-pycreds ==0.4.0
- docutils ==0.17.1
- fire ==0.4.0
- frozenlist ==1.2.0
- fsspec ==2021.11.0
- future ==0.18.2
- gitdb ==4.0.9
- gitpython ==3.1.24
- google-auth ==2.3.3
- google-auth-oauthlib ==0.4.6
- grad-cam ==1.3.7
- grpcio ==1.42.0
- idna ==3.3
- imagesize ==1.3.0
- importlib-metadata ==4.8.2
- itk-morphologicalcontourinterpolation ==1.0.2
- jinja2 ==3.0.3
- joblib ==1.1.0
- markdown ==3.3.6
- markupsafe ==2.0.1
- monai ==0.8.0
- multidict ==5.2.0
- nibabel ==3.2.1
- numpy ==1.19.5
- oauthlib ==3.1.1
- opencv-python ==4.5.5.62
- packaging ==21.3
- parameterized ==0.8.1
- pathtools ==0.1.2
- pillow ==8.4.0
- pockets ==0.9.1
- promise ==2.3
- protobuf ==3.19.1
- psutil ==5.8.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- pydata-sphinx-theme ==0.7.1
- pydeprecate ==0.3.1
- pygments ==2.10.0
- pylru ==1.2.0
- pyparsing ==3.0.6
- python-dateutil ==2.8.2
- pytorch-lightning ==1.4.9
- pytz ==2021.3
- pyyaml ==6.0
- requests ==2.26.0
- requests-oauthlib ==1.3.0
- rsa ==4.7.2
- scikit-learn ==1.0.1
- scipy ==1.7.2
- sentry-sdk ==1.5.0
- setuptools ==59.5.0
- shortuuid ==1.0.8
- six ==1.16.0
- smmap ==5.0.0
- snowballstemmer ==2.2.0
- soupsieve ==2.3.1
- sphinx ==4.2.0
- sphinx-copybutton ==0.4.0
- sphinxcontrib-applehelp ==1.0.2
- sphinxcontrib-devhelp ==1.0.2
- sphinxcontrib-htmlhelp ==2.0.0
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-katex ==0.8.6
- sphinxcontrib-napoleon ==0.7
- sphinxcontrib-qthelp ==1.0.3
- sphinxcontrib-serializinghtml ==1.1.5
- subprocess32 ==3.5.4
- tensorboard ==2.7.0
- tensorboard-data-server ==0.6.1
- tensorboard-plugin-wit ==1.8.0
- termcolor ==1.1.0
- threadpoolctl ==3.0.0
- torchmetrics ==0.6.0
- torchvision ==0.11.3
- tqdm ==4.62.3
- trojanzoo-sphinx-theme ==0.1.1
- ttach ==0.0.3
- urllib3 ==1.26.7
- wandb ==0.12.6
- werkzeug ==2.0.2
- yarl ==1.7.2
- yaspin ==2.1.0
- zipp ==3.6.0
- Pillow ==8.4.0
- Sphinx ==4.2.0
- fire ==0.4.0
- grad-cam ==1.3.7
- itk-morphologicalcontourinterpolation ==1.0.2
- monai ==0.8.0
- nibabel ==3.2.1
- numpy ==1.19.5
- parameterized ==0.8.1
- psutil ==5.8.0
- pydata-sphinx-theme ==0.7.1
- pytorch-lightning ==1.4.9
- scikit-learn ==1.0.1
- scipy ==1.7.2
- sphinx-copybutton ==0.4.0
- sphinxcontrib-jsmath ==1.0.1
- sphinxcontrib-katex ==0.8.6
- sphinxcontrib-napoleon ==0.7
- torch ==1.10.0
- torchmetrics ==0.6.0
- torchvision ==0.11.1
- wandb ==0.12.6