https://github.com/frankkramer-lab/MIScnn

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
https://github.com/frankkramer-lab/MIScnn

clinical-decision-support computer-vision convolutional-neural-networks deep-learning framework healthcare-imaging medical-image-analysis medical-image-processing medical-image-segmentation medical-imaging neural-network pip segmentation tensorflow

Last synced: about 2 months ago
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A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

• Host: GitHub
• URL: https://github.com/frankkramer-lab/MIScnn
• Owner: frankkramer-lab
• License: gpl-3.0
• Created: 2019-05-09T14:53:48.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-05-10T14:52:31.000Z (over 1 year ago)
• Last Synced: 2024-07-12T02:45:36.472Z (2 months ago)
• Topics: clinical-decision-support, computer-vision, convolutional-neural-networks, deep-learning, framework, healthcare-imaging, medical-image-analysis, medical-image-processing, medical-image-segmentation, medical-imaging, neural-network, pip, segmentation, tensorflow
• Language: Python
• Homepage:
• Size: 133 MB
• Stars: 398
• Watchers: 14
• Forks: 116
• Open Issues: 59
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• awesome_medical - MIScnn