A cooperative semi-supervised fuzzy clustering framework for dental X-ray image segmentation
作者：
Highlights：
• We concentrated on the dental X-ray image segmentation problem.
• A new framework combining Otsu, FCM and semi-supervised fuzzy clustering was shown.
• It was tested on real datasets from Hanoi Medical University in terms of accuracy.
• The new framework has better performance than the relevant methods.
• Suggestions on means and variances of the criteria of the new framework were made.
摘要
•We concentrated on the dental X-ray image segmentation problem.•A new framework combining Otsu, FCM and semi-supervised fuzzy clustering was shown.•It was tested on real datasets from Hanoi Medical University in terms of accuracy.•The new framework has better performance than the relevant methods.•Suggestions on means and variances of the criteria of the new framework were made.
论文关键词：Dental image segmentation,Fuzzy clustering,Performance assessment,Semi-supervised fuzzy clustering,X-ray images
论文评审过程：Received 11 July 2015, Revised 20 October 2015, Accepted 3 November 2015, Available online 10 November 2015, Version of Record 19 November 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.001
