CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images.

We present a novel algorithm that is able to generate deep synthetic COVID-19 pneumonia CT scan slices using a very small sample of positive training images in tandem with a larger number of normal images. This generative algorithm produces images of sufficient accuracy to enable a DNN classifier to...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 36; no. 4; pp. 1376 - 1390
Main Authors:	Menon, Sumeet, Mangalagiri, Jayalakshmi, Galita, Josh, Morris, Michael, Saboury, Babak, Yesha, Yaacov, Yesha, Yelena, Nguyen, Phuong, Gangopadhyay, Aryya, Chapman, David
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Aug2023
Online Access:	View this record in EBSCOhost