Enhanced glaucoma detection using U-Net and U-Net+ architectures using deep learning techniques
This study compares multiple image processing and deep learning methods to demonstrate an enhanced approach to glaucoma diagnosis. The approach focuses on noise reduction using median filtering and optic disc segmentation utilizing the U-Net and U-Net+ architectures. Capsule Networks were utilized f...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Photodiagnosis and Photodynamic Therapy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S157210002500153X |
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