Automated plaque classification using computed tomography angiography and Gabor transformations

作者：

Highlights：

• Automated classification of calcified plaque using CTA images.

• Gabor transform features are extracted.

• No feature reduction method coupled with PNN classifier yielded an accuracy of 89.09%.

摘要

•Automated classification of calcified plaque using CTA images.•Gabor transform features are extracted.•No feature reduction method coupled with PNN classifier yielded an accuracy of 89.09%.

论文关键词：Automated classification,Computed tomography angiography,Gabor transformation,Image processing,Machine learning,Deep learning

论文评审过程：Received 19 July 2019, Revised 23 August 2019, Accepted 6 September 2019, Available online 14 September 2019, Version of Record 23 September 2019.

论文官网地址：https://doi.org/10.1016/j.artmed.2019.101724