Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

作者：

Highlights：

• An investigation into an automatic computational framework for lateral flow assays.

• Critical examination of the data structure, features and algorithms.

• Pseudo control colours were proposed as a new feature within the optimal feature set.

• Proposed scheme offers high accuracy and fulfils ASSURED criteria.

摘要

•An investigation into an automatic computational framework for lateral flow assays.•Critical examination of the data structure, features and algorithms.•Pseudo control colours were proposed as a new feature within the optimal feature set.•Proposed scheme offers high accuracy and fulfils ASSURED criteria.

论文关键词：Image processing,Histogram thresholding,Feature selection,Machine learning,Deep learning,Colourimetric tests

论文评审过程：Received 13 November 2018, Revised 5 July 2019, Accepted 25 July 2019, Available online 26 July 2019, Version of Record 14 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112843