1. Articles from Tae Seen Kang

    1-2 of 2
    1. Asymmetry between right and left optical coherence tomography images identified using convolutional neural networks

      Asymmetry between right and left optical coherence tomography images identified using convolutional neural networks

      In a previous study, we identified biocular asymmetries in fundus photographs, and macula was discriminative area to distinguish left and right fundus images with > 99.9% accuracy. The purposes of this study were to investigate whether optical coherence tomography (OCT) images of the left and right eyes could be discriminated by convolutional neural networks (CNNs) and to support the previous result. We used a total of 129,546 OCT images. CNNs identified right and left horizontal images with high accuracy (99.50%). Even after flipping the left images, all of the CNNs were capable of discriminating them (DenseNet121: 90.33 ...

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    2. Development of fully automated anterior chamber cell analysis based on image software

      Development of fully automated anterior chamber cell analysis based on image software

      Optical coherence tomography (OCT) is a noninvasive method that can quickly and accurately examine the eye at the cellular level. Several studies have used OCT for analysis of anterior chamber cells. However, these studies have several limitations. This study was performed to supplement existing reports of automated analysis of anterior chamber cell images using spectral domain OCT (SD-OCT) and to compare this method with the Standardization of Uveitis Nomenclature (SUN) grading system. We analyzed 2398 anterior segment SD-OCT images from 34 patients using code written in Python. Cell density, size, and eccentricity were measured automatically. Increases in SUN grade were ...

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    1-2 of 2
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  2. Topics in the News

    1. (1 articles) Kyungpook National University
    2. (1 articles) Heidelberg Engineering
    3. (1 articles) Massachusetts General Hospital
    4. (1 articles) Harvard University
    5. (1 articles) National Institutes of Health
    6. (1 articles) Peking University
    7. (1 articles) San Raffaele Scientfic Institute
    8. (1 articles) Massachusetts Institute of Technology
    9. (1 articles) Duke University
    10. (1 articles) Brigham and Women’s Hospital
    11. (1 articles) Baylor College of Medicine
    12. (1 articles) Carl Zeiss Meditec
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