1. Articles from Cecilia Lee

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    1. Bringing Deep Learning Models to the Data: An Application in Recognizing Intra-Retinal Fluid on Optical Coherence Tomography (OCT) Images

      Bringing Deep Learning Models to the Data: An Application in Recognizing Intra-Retinal Fluid on Optical Coherence Tomography (OCT) Images

      Purpose : Amidst intense interest in deep learning in medicine, concerns regarding data privacy, security, and sharing are of increasing importance. A model-to-data approach, in which the model itself is transferred rather than data, can circumvent many of these challenges, but has not been previously tested in ophthalmology. The objective of our study was to determine whether a model-to-data deep learning approach (i.e. validation of the algorithm without any data transfer) can be successfully applied for the first time to deep learning in ophthalmology. Methods : This is a cross sectional study in which a deep learning algorithm model developed at ...

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  2. Topics in the News

    1. (1 articles) Tufts University
    2. (1 articles) University of Washington
    3. (1 articles) Jay S. Duker
    4. (1 articles) Sun Yat-Sen University
    5. (1 articles) National Institutes of Health
    6. (1 articles) University of Illinois at Urbana-Champaign
    7. (1 articles) Tianjin University
    8. (1 articles) Zhejiang University
    9. (1 articles) New York Eye and Ear Infirmary
    10. (1 articles) Eric J. Chaney
    11. (1 articles) Jun Zhang
    12. (1 articles) Robert Ritch
    13. (1 articles) Stephen A. Boppart
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