id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-204060-ddve4mga	Li, Tianyang	Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning	2020-04-27		.txt	text/plain	6549	410	52	In this paper, we report our solution, discriminative cost-sensitive learning (DCSL), which should be the choice if the clinical needs the assisted screening of COVID-19 from chest X-rays. In this paper, we propose an innovative discriminative cost-sensitive learning (DCSL) for the robust screening of COVID-19 from chest X-rays. We combine both advances into a deep neural network with end-to-end optimization, successfully achieving fine-grained cost-sensitive screening of COVID-19. To the best of our knowledge, it is the first time that we insightfully view the screening of COVID-19 from chest X-rays as a fine-grained cost-sensitive classification problem. In this study, we introduce a score-level cost-sensitive learning approach based on an expert-provided cost matrix to improve the screening accuracy of COVID-19 from chest X-rays. The proposed discriminative cost-sensitive learning algorithm (DCSL) achieves the highest results on the screen-ing of COVID-19 from chest X-rays.	./cache/cord-204060-ddve4mga.txt	./txt/cord-204060-ddve4mga.txt