Retinal Vessel Segmentation Based on Self-Attention Feature Selection

Many major diseases can cause changes in the morphology of blood vessels, and the segmentation of retinal blood vessels is of great significance for preventing these diseases. Obtaining complete, continuous, and high-resolution segmentation results is very challenging due to the diverse structures o...

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Veröffentlicht in:	Electronics (Basel) 2024-09, Vol.13 (17), p.3514
Hauptverfasser:	Jiang, Ligang, Li, Wen, Xiong, Zhiming, Yuan, Guohui, Huang, Chongjun, Xu, Wenhao, Zhou, Lu, Qu, Chao, Wang, Zhuoran, Tong, Yuhua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Blood vessels Business metrics Coders Datasets Deep learning Disease Feature selection Image processing Image quality Image segmentation Medical imaging Methods Modules Morphology Neural networks Performance measurement Queries Special effects
Online-Zugang:	Volltext
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