id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-131094-1zz8rd3h	Parisi, L.	QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics	2020-10-15		.txt	text/plain	7546	325	48	Despite a higher computational cost, results indicated an overall higher classification accuracy, precision, recall and F1-score brought about by either quantum AFs on five of the seven bench-mark datasets, thus demonstrating its potential to be the new benchmark or gold standard AF in CNNs and aid image classification tasks involved in critical applications, such as medical diagnoses of COVID-19 and PD. Despite a higher computational cost (four-fold with respect to the other AFs except for the CReLU's increase being almost three-fold), the results achieved by either or both the proposed QReLU and m-ReLU AFs, assessed on classification accuracy, precision, recall and F1-score, indicate an overall higher generalisation achieved on five of the seven benchmark datasets ( Table 2 on the MNIST data, Tables 3 and 5 on PD-related spiral drawings, Tables 7 and 8 on COVID-19 lung US images).	./cache/cord-131094-1zz8rd3h.txt	./txt/cord-131094-1zz8rd3h.txt