Segmentation of dental X-ray images in medical imaging using neutrosophic orthogonal matrices
作者：
Highlights：
• We focused on enhancing the accuracy of segmentation from dental X-Ray images.
• A new fuzzy clustering based on neutrosophic orthogonal matrix was given.
• It computes inner products of cutting matrix and segments by orthogonal principle.
• It was validated on real dental datasets of Hanoi Medical University Hospital.
• It has better accuracy than the relevant methods.
摘要
•We focused on enhancing the accuracy of segmentation from dental X-Ray images.•A new fuzzy clustering based on neutrosophic orthogonal matrix was given.•It computes inner products of cutting matrix and segments by orthogonal principle.•It was validated on real dental datasets of Hanoi Medical University Hospital.•It has better accuracy than the relevant methods.
论文关键词：Dental X-ray image,Fuzzy clustering,Neutrosophic orthogonal matrices,Medical diagnosis
论文评审过程：Received 21 June 2017, Revised 9 September 2017, Accepted 10 September 2017, Available online 12 September 2017, Version of Record 5 October 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.027
