Empirical analysis on retinal segmentation using PSO-based thresholding in diabetic retinopathy grading.
Journal:
Biomedizinische Technik. Biomedical engineering
Published Date:
Jan 6, 2025
Abstract
OBJECTIVES: Diabetic retinopathy (DR) is associated with long-term diabetes and is a leading cause of blindness if it is not diagnosed early. The rapid growth of deep learning eases the clinicians' DR diagnosing procedure. It automatically extracts the features and performs the grading. However, training the image toward the majority of background pixels can impact the accuracy and efficiency of grading tasks. This paper proposes an auto-thresholding algorithm that reduces the negative impact of considering the background pixels for feature extraction which highly affects the grading process.
