Поляриметрична система мюллерово-матричної діагностики двокомпонентних біологічних структур з підтримкою прийняття рішень

A method and system for diagnosing subsurface scars of two-component biological structures has been developed based on the measurement and analysis of orientation and phase images of the Mueller matrices of optically thin samples. The diagnostic method is complemented by a classification analysis of...

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Bibliographische Detailangaben
Datum:2024
Hauptverfasser: Заболотна, Н.І., Шолота, В.В.
Format: Artikel
Sprache:English
Veröffentlicht: Vinnytsia National Technical University 2024
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Online Zugang:https://oeipt.vntu.edu.ua/index.php/oeipt/article/view/708
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Назва журналу:Optoelectronic Information-Power Technologies

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Optoelectronic Information-Power Technologies
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Zusammenfassung:A method and system for diagnosing subsurface scars of two-component biological structures has been developed based on the measurement and analysis of orientation and phase images of the Mueller matrices of optically thin samples. The diagnostic method is complemented by a classification analysis of informative features of Mueller matrix images. The diagnostic system has expanded functionality due to the introduction of a decision support subsystem. Fuzzy models of decision-making support were derived and the reliability of diagnosis of cervical oncology using the developed system was evaluated.