This paper performs an investigation into the development of an intelligent image-based automatic in vitro diagnostic system for infectious diseases using personal devices. The proposed framework of the image-based diagnostic system is demonstrated using the case study of Tuberculosis (TB)-specific antibody detection. The developed system, denoted as the iTB-test, is an intelligent bio-sensing system, comprised of a plasmonic Enzyme-Linked Immunosorbent Assay based colourimetric test in combination with an artificial intelligence-enabled image-based system. The presented system can separate the region of interest with 99.62% accuracy using clustering-based hybrid image processing algorithms, whereas the classification accuracy of antibody detection using a supervised machine learning technique is 100 % based on the experiments conducted for the case study.
|Title of host publication||2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)|
|Number of pages||6|
|Publication status||Published - 6 Feb 2023|
|Event||14th International Conference on Software, Knowledge, Information Management and Applications - CamTech University, Phnom Penh, Cambodia|
Duration: 2 Dec 2022 → 4 Dec 2022
|Conference||14th International Conference on Software, Knowledge, Information Management and Applications|
|Period||2/12/22 → 4/12/22|