PyVisualFields: A Python Package for Visual Field Analysis.

Journal: Translational vision science & technology
Published Date: Feb 1, 2023

Abstract

PURPOSE: Artificial intelligence (AI) methods are changing all areas of research and have a variety of capabilities of analysis in ophthalmology, specifically in visual fields (VFs) to detect or predict vision loss progression. Whereas most of the AI algorithms are implemented in Python language, which offers numerous open-source functions and algorithms, the majority of algorithms in VF analysis are offered in the R language. This paper introduces PyVisualFields, a developed package to address this gap and make available VF analysis in the Python language.

Authors

  • Mohammad Eslami
    Center for Advanced Technology and Education (CATE), Florida International University, Miami, FL, USA; Department of Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
  • Saber Kazeminasab
    Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
  • Vishal Sharma
    Department of Gastroenterology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India.
  • Yangjiani Li
    Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
  • Mojtaba Fazli
    Harvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
  • Mengyu Wang
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts.
  • Nazlee Zebardast
    Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston (A.V.S., T.E., J.L.W., N.Z.).
  • Tobias Elze
    Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts; Complex Structures in Biology and Cognition, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. Electronic address: tobias-elze@tobias-elze.de.

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