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Development and Validation of Automated Visual Field Report Extraction Platform Using Computer Vision Tools.

Murtaza Saifee1, Jian Wu1,2, Yingna Liu1

  • 1Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, United States.

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Summary
This summary is machine-generated.

An open-source script automates Humphrey visual field (HVF) data extraction, significantly reducing processing time and maintaining high accuracy compared to manual methods. This tool enhances large-scale analysis of visual field data.

Keywords:
computer vision and image processingglaucomaneuroophthalmogyoptical character readervisual field

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Area of Science:

  • Ophthalmology
  • Medical Informatics
  • Computer Science

Background:

  • Humphrey visual field (HVF) reports contain crucial diagnostic data.
  • Manual extraction of this data is time-consuming and prone to errors.
  • Automating HVF data extraction can accelerate research and improve data quality.

Purpose of the Study:

  • To introduce and validate hvf_extraction_script, an open-source software for automated HVF report data extraction.
  • To compare the speed and accuracy of automated extraction against human extractors.
  • To assess the script's performance across different HVF report layouts.

Main Methods:

  • Validation of hvf_extraction_script on 90 HVF reports with diverse layouts.
  • Comparison of automated extraction with four human extractors against DICOM reference data.
  • Evaluation of extraction time and accuracy for metadata, value plot, and percentile plot data.

Main Results:

  • Automated extraction was over 40 times faster than human extraction (seconds vs. minutes per report).
  • Computer extraction error rates were comparable or lower than human extraction across all data types and layouts.
  • Automated extraction demonstrated very low error rates, particularly for value and percentile plot data.

Conclusions:

  • hvf_extraction_script provides a fast and accurate solution for automated HVF data extraction.
  • The open-source tool facilitates the analysis of large-volume HVF datasets.
  • Image processing tools offer significant advantages for efficient and cost-effective data extraction in research.