AI classification for hepatitis B virus detection based on Mueller matrix imaging

Van-Tung Nguyen; Quoc-Thinh Dinh; Quoc-Hung Phan; Thi-Thu-Hien Pham

doi:10.1117/12.2671019

9 August 2023 AI classification for hepatitis B virus detection based on Mueller matrix imaging

Van-Tung Nguyen, Quoc-Thinh Dinh, Quoc-Hung Phan, Thi-Thu-Hien Pham

Proceedings Volume 12630, Advances in Microscopic Imaging IV; 1263018 (2023) https://doi.org/10.1117/12.2671019
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

A novel method of artificial intelligence (AI) classification is proposed for hepatitis B virus (HBV) detection based on the Mueller matrix imaging system. The feasibility of the proposed technique is demonstrated by measuring the optical properties of non-infected and infected HBV blood samples. Furthermore, different AI classifier techniques namely Yolo5, Yolo5-Restnet101, Yolo5-EfficientnetB0, and Yolo5-MobilenetV2 have been employed to classify the HBV samples. The results show that the proposed method provides 99% accuracy for HBV classification. In general, the proposed technique provides reliable and simple devices for HBV diagnosis applications.

Citation Download Citation

Van-Tung Nguyen, Quoc-Thinh Dinh, Quoc-Hung Phan, and Thi-Thu-Hien Pham "AI classification for hepatitis B virus detection based on Mueller matrix imaging", Proc. SPIE 12630, Advances in Microscopic Imaging IV, 1263018 (9 August 2023); https://doi.org/10.1117/12.2671019

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