A Hybrid CLAHE-GAMMA Adjustment and Densely Connected U-NET for Retinal Blood Vessel Segmentation using Augmentation Data

The retina is a thin layer on the back of the eyeball that is sensitive to light. Retinal blood vessels function to supply blood and oxygen to the retinal tissue. If there is a disturbance in these blood vessels, we need to detect a disease or other disorder in the retina. One of the stages in image...

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Veröffentlicht in:	Engineering letters 2022-05, Vol.30 (2), p.485
Hauptverfasser:	Putra, Hadrians Kesuma, Suprihatin, Bambang, Ramadhini, Fitri
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Blood vessels Data augmentation Equalization Histograms Image quality Image segmentation Kernels Object recognition Parameter sensitivity Retina Retinal images Sensitivity Similarity
Online-Zugang:	Volltext
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