分割
计算机科学
预处理器
人工智能
尺度空间分割
计算机视觉
基于分割的对象分类
图像分割
过程(计算)
模式识别(心理学)
操作系统
作者
Jair Cervantes,Jared Cervantes,Farid García‐Lamont,Arturo Yee-Rendón,Javier Cabrera,Laura D. Jalili
出处
期刊:Neurocomputing
[Elsevier]
日期:2023-11-01
卷期号:556: 126626-126626
被引量:1
标识
DOI:10.1016/j.neucom.2023.126626
摘要
In recent years, enormous research has been carried out on the segmentation of blood vessels. Segmentation of blood vessels in retinal images is crucial for diagnosing, treating, evaluating clinical results, and early detection of eye disorders. A successful segmentation accurately reflects the blood vessels' structure and helps obtain patterns that can be used to identify retinal disorders and diseases. Most recent research on vessel segmentation employs multiple processes to determine the appropriate segmentation. Finding the best techniques for segmentation is a complex process. In certain circumstances, it requires a thorough understanding of every step that can only be acquired through years of training. Comprehension and expertise in segmentation procedures are essential for accurate segmentation. This paper briefly introduces the segmentation of blood vessels in retinal images, describes many preprocessing and segmentation techniques, and summarizes challenges and trends. Furthermore, the limitations of the current systems will be identified.
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