Abstract: Recent memories in different processors suffer from increasing threats of errors. Error correction and detection codes with higher detection abilities are ...
Abstract: This study presents a deep learning-based approach for automated detection and grading of glaucoma using retinal fundus images. Leveraging a hybrid model built on EfficientNetB3 as a feature ...
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