id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_oavbptqpunch5jy27k3m3zb5yi	Dina A. Ragab	FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features	2020	30	.pdf	application/pdf	13458	1703	62	FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and and DL features extracted from multiple CNNs trained with COVID-19 CT images. � Stage (1)—Deep features fusion: This is performed by extracting and fusing the deep � Fusing features extracted from the deep layers of CNNs to diagnose COVID-19 patients, multiple individual CNNs models with three powerful handcrafted features based on The proposed CAD system consists of four steps, which are image enhancement, feature Deep and handcrafted features fusion stage (FUSI-CAD System) The FUSI-CAD system proposed the fusion of DL and HC features to examine the effect Table 5 A comparison between the classification scores obtained by the DL, HC feature fusion, and the FUSI-CAD system. FUSI-CAD system was based on the fusion of multiple DL features and handcrafted FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features	./cache/work_oavbptqpunch5jy27k3m3zb5yi.pdf	./txt/work_oavbptqpunch5jy27k3m3zb5yi.txt