A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis

Accurate segmentation of retinal vessels is of great significance for computer-aided diagnosis and treatment of many diseases. Due to the limited number of retinal vessel samples and the scarcity of labeled samples, and since grey theory excels in handling problems of “few data, poor information”, t...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 24; H. 13; S. 4326
Hauptverfasser:	Wang, Yating, Li, Hongjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 03.07.2024
Schlagworte:	adaptive discriminative filtering Algorithms Blood vessels Content analysis Deep learning Diabetes Glaucoma grey relational analysis Humans Image Processing, Computer-Assisted - methods Medical imaging Methods Optics Retina retinal vessel segmentation Retinal Vessels - diagnostic imaging System theory Tomography unsupervised algorithm grey relational analysis retinal vessel segmentation unsupervised algorithm adaptive discriminative filtering
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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