ArticleJournal of biomedical optics2022
Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection.
Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Analysis of polarization features of human breast cancer tissue by Mueller matrix visualization.Journal of biomedical optics · 2024Article
- Roadmap on Label-Free Super-Resolution Imaging.Laser & photonics reviews · 2023Article
- Deep transfer learning approaches for Monkeypox disease diagnosis.Expert systems with applications · 2023Article
- Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging.Biomedical optics express · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
Significance: The combination of polarized imaging with artificial intelligence (AI) technology has provided a powerful tool for performing an objective and precise diagnosis in medicine. Aim: An approach is proposed for the detection of hepatitis B (HB) virus using a combined Mueller matrix imaging technique and deep learning method. Approach: In the proposed approach, Mueller matrix imaging polarimetry is applied to obtain Results: As a result, Conclusions: Overall, the results confirm that the proposed hybrid Mueller matrix imaging and AI framework provides a simple and effective approach for HB virus detection.
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Registered trials
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