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https://github.com/fitushar/brain-tissue-segmentation-using-deep-learning-pipeline-neuronet
This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset
https://github.com/fitushar/brain-tissue-segmentation-using-deep-learning-pipeline-neuronet
3d 3dfcn brain brain-tissue-segmentation cnn-architecture dice neuronet preprocessing registration segmentation
Last synced: 3 months ago
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This Repository is for the MISA Course final project which was Brain tissue segmentation. we adopt NeuroNet which is a comprehensive brain image segmentation tool based on a novel multi-output CNN architecture which has been trained and tuned using IBSR18 dataset
- Host: GitHub
- URL: https://github.com/fitushar/brain-tissue-segmentation-using-deep-learning-pipeline-neuronet
- Owner: fitushar
- Created: 2019-01-11T20:47:01.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-24T01:17:19.000Z (almost 5 years ago)
- Last Synced: 2023-03-05T03:39:58.338Z (almost 2 years ago)
- Topics: 3d, 3dfcn, brain, brain-tissue-segmentation, cnn-architecture, dice, neuronet, preprocessing, registration, segmentation
- Language: Jupyter Notebook
- Size: 5.16 MB
- Stars: 23
- Watchers: 2
- Forks: 6
- Open Issues: 0