id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_4jahkqj3yzfxjggdfr7jx3jif4	Omneya Attallah	GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases	2021	36	.pdf	application/pdf	14928	1778	59	Gastro-CADx, features extracted in the first stage are applied to the discrete wavelet � In the first stage, Gastro-CADx studies several CNN based methods for feature � In the second stage, Gatro-CADx extracts handcrafted features based on textural based methods are useful in extracting texture features from images which is equivalent In experiment II (first stage of Gastro-CADx), DL features are extracted from the Table 4 The classification accuracy for the four CNNs used in Gastro-CADx using Dataset II. Table 4 The classification accuracy for the four CNNs used in Gastro-CADx using Dataset II. using DCT features extracted using AlexNet+ResNet+DenseNet+DarkNet CNNs, where CA features extracted from AlexNet+ResNet+DenseNet CNNs using Dataset I and Next, in the second stage of Gastro-CADx, DCT, and DWT feature extraction Table 8 The Classification Accuracy (%) for the 500 DCT features extracted from different DarkNet-19 CNNs. This is because Gastro-CADx extracted not only spatial features but	./cache/work_4jahkqj3yzfxjggdfr7jx3jif4.pdf	./txt/work_4jahkqj3yzfxjggdfr7jx3jif4.txt