1. Articles from Ludmila Snopova

    1-2 of 2
    1. Pixel classification method in optical coherence tomography for tumor segmentation and its complementary usage with OCT microangiography

      Pixel classification method in optical coherence tomography for tumor segmentation and its complementary usage with OCT microangiography

      A novel machine-learning method to distinguish between tumor and normal tissue in optical coherence tomography (OCT) has been developed. Pre-clinical murine ear model implanted with mouse colon carcinoma CT-26 was used. Structural-image-based feature sets were defined for each pixel and machine learning classifiers were trained using “ground truth” OCT images manually segmented by comparison with histology. The accuracy of the OCT tumour segmentation method was then quantified by comparing with fluorescence imaging of tumors expressing genetically encoded fluorescent protein KillerRed that clearly delineates tumor borders. Since the resultant 3D tumor/normal structural maps are inherently co-registered with OCT derived maps ...

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    2. Combined use of fluorescence cystoscopy and cross-polarization OCT for diagnosis of bladder cancer and correlation with immunohistochemical markers

      Combined use of fluorescence cystoscopy and cross-polarization OCT for diagnosis of bladder cancer and correlation with immunohistochemical markers

      The combined use of fluorescence cystoscopy and cross-polarization optical coherence tomography (CP OCT) with quantitative estimation of the OCT signal was assessed in 92 bladder zones. It demonstrated the diagnostic accuracy in detecting superficial bladder cancer of 93.6%, sensitivity 96.4%, specificity 92.1%, positive predictive value 87% and negative predictive value 97.9%. Quantitative estimation of OCT signal standard deviation in cross-polarization (CP OCT SD index) makes the visual criteria of CP OCT image assessment more objective. The level of CP OCT SD index for diagnosing superficial bladder cancer, including cancer in situ, was 4.32 dB and ...

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    1-2 of 2
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  2. Topics in the News

    1. (2 articles) Nizhny Novgorod State Medical Academy
    2. (2 articles) Elena V. Zagaynova
    3. (2 articles) Natalia D. Gladkova
    4. (2 articles) Elena B. Kiseleva
    5. (1 articles) Institute of Applied Physics
    6. (1 articles) University of Toronto
    7. (1 articles) Felix I. Feldchtein
    8. (1 articles) Olga S. Streltsova
    9. (1 articles) Maria M. Karabut
    10. (1 articles) I. Alex Vitkin
    11. (1 articles) Fujian Normal University
    12. (1 articles) UCLA
    13. (1 articles) Saarland University
    14. (1 articles) Srinivas R. Sadda
    15. (1 articles) Yuhua Zhang
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