Performance of deep learning models in automatic measurement of ellipsoid zone area on baseline optical coherence tomography (oct) images from the rate of progression of ush2a-related retinal degeneration (rush2a) study

HIGHLIGHTS

• who: Yi-Zhong Wang from the National Eye Institute (NIH), United States Catholic University of the Sacred have published the paper: Performance of Deep Learning Models in Automatic Measurement of Ellipsoid Zone Area on Baseline Optical Coherence Tomography (OCT) Images From the Rate of Progression of USH2A-Related Retinal Degeneration (RUSH2A) Study, in the Journal: (JOURNAL)
• what: The authors evaluated the performance of the trained U-Net and hybrid models for automatic measurement of EZ area on SD-OCT volume scans of an external dataset obtained from the Frontiers in Medicine | www.frontiersin.org Patients . . .
  

   

  

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