1. Articles from John Galeotti

    1-2 of 2
    1. LEARNING TO SEGMENT CORNEAL TISSUE INTERFACES IN OCT IMAGES

      LEARNING TO SEGMENT CORNEAL TISSUE INTERFACES IN OCT IMAGES

      Accurate and repeatable delineation of corneal tissue interfaces is necessary for surgical planning during anterior segment interventions, such as Keratoplasty. Designing an approach to identify interfaces, which generalizes to datasets acquired from different Optical Coherence Tomographic (OCT) scanners, is paramount. In this paper, we present a Convolutional Neural Network (CNN) based framework called CorNet that can accurately segment three corneal interfaces across datasets obtained with different scan settings from different OCT scanners. Extensive validation of the approach was conducted across all imaged datasets. To the best of our knowledge, this is the first deep learning based approach to segment both ...

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    2. The OCT penlight: in-situ image guidance for microsurgery

      The OCT penlight: in-situ image guidance for microsurgery
      , , et al. We have developed a new image-based guidance system for microsurgery using optical coherence tomography (OCT), which presents a virtual image in its correct location inside the scanned tissue. Applications include surgery of the cornea, skin, and other surfaces below which shallow targets may advant ... [Proc. SPIE 7625, 762502 (2010)] published Tue Feb 23, 2010.
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    1-2 of 2
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  2. Topics in the News

    1. (2 articles) University of Pittsburgh
    2. (1 articles) Carnegie Mellon University
    3. (1 articles) Joel S. Schuman
    4. (1 articles) Larry Kagemann
    5. (1 articles) Gadi Wollstein
    6. (1 articles) Duke University
    7. (1 articles) Sina Farsiu
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