A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation

标题
A novel fuzzy clustering algorithm by minimizing global and spatially constrained likelihood-based local entropies for noisy 3D brain MR image segmentation
作者
关键词
3D brain MR image segmentation, Clustering, Entropy, Image segmentation
出版物
APPLIED SOFT COMPUTING
Volume 90, Issue -, Pages 106171
出版商
Elsevier BV
发表日期
2020-02-16
DOI
10.1016/j.asoc.2020.106171

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now