About: A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
Creator	Chuang, Jen-Hsiang Chang, Yeun-Chung Chang, Yu-Chien Chao, Kuan-Hua Chen, Chi-Mai Chen, Hsin-Ming Chen, Jo-Yu Chen, Ray-Jade Chen, Yi-Chang Cheng, Hsien-Tzu Chien, Ning Chou, Nai-Kuan Huang, Yu-Cheng Huang, Yu-Sen Ko, Mong-Chi Kuo, Po-Chen Lee, Po-Chang Lee, Wen-Jeng Liu, Keng-Chi Liu, Tyng-Luh Tu, Yi-Chin Wei, Andy Yeh, Chun-Fu
source	ArXiv
abstract	We introduce a comprehensive screening platform for the COVID-19 (a.k.a., SARS-CoV-2) pneumonia. The proposed AI-based system works on chest x-ray (CXR) images to predict whether a patient is infected with the COVID-19 disease. 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. To better address such inefficiency, we design a cascaded learning strategy to improve both the sensitivity and the specificity of the resulting DNN classification model. 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. The resulting screening system is shown to achieve good classification performance on the expanded dataset, including those newly added COVID-19 CXR images.
has issue date	2020-04-24(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c6b8ba6eafb99b0df2cd33e0c0ad804c00d8c505
resource representing a document's title	A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
resource representing a document's body	covid:c6b8ba6eafb99b0df2cd33e0c0ad804c00d8c505#body_text
is schema:about of	named entity 'areas' named entity 'dataset' named entity 'making' named entity 'COVID-19' named entity 'learning' named entity 'proposed' named entity 'Incremental learning' named entity 'SARS-CoV-2' named entity 'Robust' named entity 'IMAGES' named entity 'CONDUCT' named entity 'FILTER' named entity 'STAGE' named entity 'PRE' named entity 'COMPREHENSIVE' named entity 'CHEST X-RAY' named entity 'FINE' named entity 'CXR' named entity 'PATIENT' named entity 'PNEUMONIA' named entity 'INFECTED' named entity 'ORIGINAL' named entity 'PLATFORM' named entity 'ADDITIONAL' named entity 'DESIGN' named entity 'SPECIFIC' named entity 'LARGE' covid:arg/c6b8ba6eafb99b0df2cd33e0c0ad804c00d8c505 named entity 'COVID-19' named entity 'cascaded' named entity 'Our' named entity 'cascaded' named entity 'strategy' named entity 'learn' named entity 'learning' named entity 'disease' named entity 'model' named entity 'trained' named entity 'screening' named entity 'image' named entity 'classification model' named entity 'CXR' named entity 'chest x-ray' named entity 'COVID-19 disease' named entity 'classification model' named entity 'CXR' named entity 'lung' named entity 'collection' named entity 'infected' named entity 'Pneumonia' named entity 'COVID' named entity 'binary classification' named entity 'CXR' named entity 'Chest X-ray' named entity 'pneumonia' named entity 'CXR' named entity 'COVID' named entity 'COVID' named entity 'heatmap' named entity 'COVID' named entity 'United States' named entity 'Pneumonia' named entity 'CXR' named entity 'Pneumonia' named entity 'CXR'

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