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Toplam kayıt 4, listelenen: 1-4
A novel fractional operator application for neural networks using proportional Caputo derivative
(Springer, 2022)
In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ...
DeepOCT: An explainable deep learning architecture to analyze macular edema on OCT images
(Elsevier, 2022)
Macular edema (ME) is one of the most common retinal diseases that occur as a result of the detachment of the retinal layers on the macula. This study provides computer-aided identification of ME for even small pathologies ...
Breast cancer diagnosis using deep belief networks on ROI images
(Pamukkale Üniversitesi, 2022)
Hand-crafted features are efficient methods for image processing, recognition, and computer vision. However, the advancements in data size and image resolution lead to inconvenience in feature extraction. Moreover, they ...
CLAHE based Enhancement to Transfer Learning in COVID-19 Detection
(Gazi Akademi Yayıncılık, 2022)
Early diagnosis of COVID-19 disease becomes possible with the enhancements on feature learning and advanced pre-processing stages for classification of chest X-ray images using deep learning. Besides, high-performance ...