An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time

作者：

Highlights：

• Investigation into the development of a multi-disciplinary diagnosis framework for Tuberculosis.

• Tuberculosis-specific antibody detection in real time using mobile phone.

• Exploration of image processing technique to analyse contents of plasmonic ELISA without experts.

• Enhancement of detection accuracy using mobile enabled expert system up to 98.4%.

摘要

•Investigation into the development of a multi-disciplinary diagnosis framework for Tuberculosis.•Tuberculosis-specific antibody detection in real time using mobile phone.•Exploration of image processing technique to analyse contents of plasmonic ELISA without experts.•Enhancement of detection accuracy using mobile enabled expert system up to 98.4%.

论文关键词：Image processing,Machine learning,Decision support system,Colourimetric tests

论文评审过程：Received 26 March 2018, Revised 6 June 2018, Accepted 2 July 2018, Available online 7 July 2018, Version of Record 26 July 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.014