Two-stage ensemble learning framework for automated classification of keratoconus severity.
Journal:
Computers in biology and medicine
Published Date:
Jun 25, 2025
Abstract
BACKGROUND AND OBJECTIVE: Accurate staging of keratoconus (KC) is crucial for timely intervention and improving patient quality of life. Unlike prior studies that relied on traditional base machine learning (ML) models, this paper proposes a more advanced two-stage ensemble learning model, designed to automate KC severity staging and track disease progression with improved performance.
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