Efficient tumor detection in medical images using pixel intensity estimation based on nonparametric approach

作者：

Highlights：

• Differentiating between benign and malignant tissues based on image intensities.

• Solve the topological problems, the white and the gray areas in patient's image.

• Formulate the theoretical data optimization problem by applying curve evolution.

• The proposed algorithm saves the operation time in addition to improving accuracy.

摘要

•Differentiating between benign and malignant tissues based on image intensities.•Solve the topological problems, the white and the gray areas in patient's image.•Formulate the theoretical data optimization problem by applying curve evolution.•The proposed algorithm saves the operation time in addition to improving accuracy.

论文关键词：Pixel intensities,Non-parametric approach,Tumor identification

论文评审过程：Received 14 May 2018, Revised 6 November 2018, Accepted 7 November 2018, Available online 10 November 2018, Version of Record 22 November 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.015