Classification of Glaucoma Based on Elephant-Herding Optimization Algorithm and Deep Belief Network

This study proposes a novel glaucoma identification system from fundus images through the deep belief network (DBN) optimized by the elephant-herding optimization (EHO) algorithm. Initially, the input image undergoes the preprocessing steps of noise removal and enhancement processes, followed by opt...

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Veröffentlicht in:	Electronics (Basel) 2022-06, Vol.11 (11), p.1763
Hauptverfasser:	Ali, Mona A. S., Balasubramanian, Kishore, Krishnamoorthy, Gayathri Devi, Muthusamy, Suresh, Pandiyan, Santhiya, Panchal, Hitesh, Mann, Suman, Thangaraj, Kokilavani, El-Attar, Noha E., Abualigah, Laith, Abd Elminaam, Diaa Salama
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Belief networks Classification Datasets Feature extraction Glaucoma Image classification Image enhancement Image segmentation Neural networks Noise Optical disks Optimization Optimization algorithms Retina Support vector machines Tomography Wavelet transforms
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