MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation

• मुख्य लेखकों: Zhenchao CUI (लेखक), Shujie SONG (लेखक), Jing QI (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: KeAi Communications Co., Ltd., 2022-12-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: Connect to this object online.

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...