Blar i forfatter "Voets, Mike"

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    • Deep Learning: From Data Extraction to Large-Scale Analysis 

      Voets, Mike (Master thesis; Mastergradsoppgave, 2018-05-15)
      We aim to give an insight into aspects of developing and deploying a deep learning algorithm to automate biomedical image analyses. We anonymize sensitive data from a medical archive system, attempt to replicate and further improve published methods, and scale out our algorithm to support large-scale analyses. Specifically, our contributions are described as follows. First, to anonymize and extract ...

    • Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs 

      Voets, Mike; Møllersen, Kajsa; Bongo, Lars Ailo (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-06-06)
      We have attempted to reproduce the results in <i>Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs</i>, published in JAMA 2016; 316(22), using publicly available data sets. We re-implemented the main method in the original study since the source code is not available. The original study used non-public fundus images from EyePACS ...