MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation
Objective: For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net) model is proposed. Methods: To obtain refined features of retinal blood vessels, three casc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-12-01
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| Series: | Digital Chinese Medicine |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589377722000787 |