id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-238881-tupom7fb	Yeh, Chun-Fu	A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening	2020-04-24		.txt	text/plain	3356	179	56	Although the recent international joint effort on making the availability of all sorts of open data, the public collection of CXR images is still relatively small for reliably training a deep neural network (DNN) to carry out COVID-19 prediction. Although the recent international joint effort on making the availability of all sorts of open data, the public collection of CXR images is still relatively small for reliably training a deep neural network (DNN) to carry out COVID-19 prediction. Our approach leverages a large CXR image dataset of non-COVID-19 pneumonia to generalize the original well-trained classification model via a cascaded learning scheme. Our approach leverages a large CXR image dataset of non-COVID-19 pneumonia to generalize the original well-trained classification model via a cascaded learning scheme. To extend the model, we collaborate with several medical research centers in Taiwan to collect chest x-ray images from COVID-19 patients at various stages, and re-train the pneumonia classification system using a three-stage cascaded learning strategy.	./cache/cord-238881-tupom7fb.txt	./txt/cord-238881-tupom7fb.txt