Comparing the Clinical Viability of Automated Fundus Image Segmentation Methods
Recent methods for automatic blood vessel segmentation from fundus images have been commonly implemented as convolutional neural networks. While these networks report high values for objective metrics, the clinical viability of recovered segmentation masks remains unexplored. In this paper, we perfo...
| Main Authors: | , , , , , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
MDPI AG
2022-11-01
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| 丛编: | Sensors |
| 主题: | |
| 在线阅读: | https://www.mdpi.com/1424-8220/22/23/9101 |