Quantitative Image Sensing of Tuberculosis Biomarkers Using Rapid Diagnostic Test Kit

Dimensions

Das, Subham and Shrivas, Arti and Soni, Payal and Kumar Gupta, Anil and Sarman, Singh and Bhattacharjee, Mitradip (2025) Quantitative Image Sensing of Tuberculosis Biomarkers Using Rapid Diagnostic Test Kit. IEEE Sensors Journal, 25 (4). 7242 - 7249. ISSN 1530437X

Full text not available from this repository.

Abstract

This study develops an image sensing method integrated with immunochromatic flow-through (ICT) tests for rapid tuberculosis (TB) detection. Using datasets of colorimetric images and feedforward neural networks (FNN), the approach achieved ~82% overall accuracy, 87% sensitivity, 82% specificity, and 0.84 AUC score. The method improves the reliability of TB detection compared to visual inspection, providing real-time reporting and reducing errors from color ambiguity.

Item Type: Article
Additional Information: Cited by: 1
Uncontrolled Keywords: Diagnosis; Diseases; mHealth; Diagnostic tests; Flow-through tests; Image sensing; Immunochromatic flow-through test (ICT); Neural-networks; Point of care; Quantitative images; Real time monitoring; Test kits; Tuberculosis; Information management
Subjects: Medicine > Infectious Diseases
Divisions: Medicine > Vinayaka Mission's Kirupananda Variyar Medical College and Hospital, Salem > Biochemistry
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 26 Nov 2025 09:04
Last Modified: 26 Nov 2025 09:04
URI: https://vmuir.mosys.org/id/eprint/338

Actions (login required)

View Item
View Item