Outlier Based Skimpy Regularization Fuzzy Clustering Algorithm for Diabetic Retinopathy Image Segmentation

Blood vessels are harmed in diabetic retinopathy (DR), a condition that impairs vision. Using modern healthcare research and technology, artificial intelligence and processing units are used to aid in the diagnosis of this syndrome and the study of diagnostic procedures. The correct assessment of DR...

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Vydané v:	Symmetry (Basel) Ročník 14; číslo 12; s. 2512
Hlavní autori:	Hemamalini, Selvamani, Kumar, Visvam Devadoss Ambeth
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2022
Predmet:	Accuracy Algorithms Artificial intelligence Artificial neural networks Automation Blood vessels Classification Clustering Datasets Diabetes Diabetic retinopathy Human error Image processing Image segmentation Lesions Machine learning Medical imaging Medical imaging equipment Medical research Medicine, Experimental Methods Neural networks Outliers (statistics) Regularization Retina Spatial data
ISSN:	2073-8994, 2073-8994
On-line prístup:	Získať plný text
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