Retinal vascular segmentation network based on dual-scale morphological enhancement
Abstract Retinal vessel segmentation is crucial for diagnosing ocular diseases, but current methods struggle with fine vessels and complex structures. This paper proposes a full-resolution network based on dual-scale morphological enhancement (TED-SCNet) to improve the accuracy and robustness of ret...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44443-025-00191-3 |
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