1. Articles from Yong Seop Han

    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) Northwestern University
    4. (1 articles) University College London
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    Development of fully automated anterior chamber cell analysis based on image software Asymmetry between right and left optical coherence tomography images identified using convolutional neural networks Influence of scan direction on subfoveal choroidal vascularity index using optical coherence tomography Subthreshold Nanosecond Laser for Non-resolving Central Serous Chorioretinopathy: A Double-masked Sham-controlled Randomised Trial Optical Coherence Tomography Angiography (OCTA) to Assess Cardiac Output and Cerebral Perfusion at the Time of Children's Cardiac Surgery Recent advances in optical coherence tomography for anterior segment imaging in small animals and their clinical implications Intraoperative optical coherence tomography-guided donor corneal tissue assessment and preparation Peripapillary and fovea avascular zone optical coherence tomography angiography parameters in exfoliation glaucoma versus primary open-angle glaucoma versus healthy eyes Comparison of the proposed DCNN model with standard CNN architectures for retinal diseases classification Massachusetts General Hosptial Receives NIH Grant for Screening for Barrett's Esophagus Progressors with Multimodality Tethered Capsule Image-Guided Biopsy Duke University Receives NIH Grant for Robotic Point-of-Care OCT University or Rochester Receives NIH Grant for Investigation of Brain Elasticity in Aging and Alzheimer's Disease Enabled by Optical Coherence Elastography