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...
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| Main Authors: | , , |
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| Format: | Book |
| Published: |
KeAi Communications Co., Ltd.,
2022-12-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |