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

• প্রধান লেখক: Zhenchao CUI (লেখক), Shujie SONG (লেখক), Jing QI (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: KeAi Communications Co., Ltd., 2022-12-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: 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...