Glaucoma Field Defect Classifier (GFDC)

GFDC automatically classifies glaucomatous visual field defects using the Hodapp-Parrish-Anderson criteria to improve the accuracy and reliability of glaucoma diagnosis, prognostication, and management decisions.

Key Features:

• Automated Classification: GFDC applies standardized Hodapp-Parrish-Anderson criteria automatically without manual labour-intensive assessment.
• Defect Severity Stratification: GFDC classifies glaucomatous field defects as mild, moderate, or severe.
• Validation: GFDC was validated in a cross-sectional study and exhibits perfect accuracy across all severity levels.

Scientific Applications:

• Glaucoma Diagnosis: GFDC improves accuracy and fairness of clinical decision-making in glaucoma by reducing subjectivity and ambiguity in visual field classification.
• Glaucoma Prognostication: GFDC supports reliable prognostication through standardized visual field defect assessment.
• Glaucoma Management: GFDC informs management decisions by providing objective, reproducible classification of visual field defects.
• Clinical Research: GFDC is available for researchers to use with glaucoma patients in research settings.

Methodology:

GFDC applies the Hodapp-Parrish-Anderson criteria for automatic classification of glaucomatous visual field defects and was validated in a cross-sectional study.