https://github.com/srinidhiPY/SSL_CR_Histo

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
https://github.com/srinidhiPY/SSL_CR_Histo

annotation-efficient breastpathq camelyon16 deep-learning digital-pathology histopathology self-supervised-learning semi-supervised-learning teacher-student-training

Last synced: 3 months ago
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Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

• Host: GitHub
• URL: https://github.com/srinidhiPY/SSL_CR_Histo
• Owner: srinidhiPY
• License: mit
• Created: 2021-02-04T20:14:05.000Z (almost 4 years ago)
• Default Branch: histo
• Last Pushed: 2022-03-05T01:21:56.000Z (over 2 years ago)
• Last Synced: 2024-07-28T19:22:27.272Z (4 months ago)
• Topics: annotation-efficient, breastpathq, camelyon16, deep-learning, digital-pathology, histopathology, self-supervised-learning, semi-supervised-learning, teacher-student-training
• Language: Python
• Homepage: https://doi.org/10.1016/j.media.2021.102256
• Size: 8.69 MB
• Stars: 62
• Watchers: 5
• Forks: 21
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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