Fairooz, T.; McNamee, S.E.; Finlay, D.; Ng, K.Y.; McLaughlin, J.
Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models. Biosensors 2024, 14, 611.
https://doi.org/10.3390/bios14120611
AMA Style
Fairooz T, McNamee SE, Finlay D, Ng KY, McLaughlin J.
Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models. Biosensors. 2024; 14(12):611.
https://doi.org/10.3390/bios14120611
Chicago/Turabian Style
Fairooz, Towfeeq, Sara E. McNamee, Dewar Finlay, Kok Yew Ng, and James McLaughlin.
2024. "Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models" Biosensors 14, no. 12: 611.
https://doi.org/10.3390/bios14120611
APA Style
Fairooz, T., McNamee, S. E., Finlay, D., Ng, K. Y., & McLaughlin, J.
(2024). Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models. Biosensors, 14(12), 611.
https://doi.org/10.3390/bios14120611