Exploiting the potential of unlabeled endoscopic video data with self-supervised learning

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Authors
Keywords
Self-supervised learning, Endoscopic instrument segmentation, Transfer learning, Endoscopic image processing, Computer vision
Journal
International Journal of Computer Assisted Radiology and Surgery
Volume 13, Issue 6, Pages 925-933
Publisher
Springer Nature
Online
2018-04-28
DOI
10.1007/s11548-018-1772-0
References
View 3 related references

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.