Distributed autoencoder classifier network for small‐scale and scattered COVID ‐19 dataset classification

In healthcare, small‐scare data are stored with individual entities, such as hospitals, and they are not shared. However, data with one entity are not sufficient for training a machine learning model and therefore cannot be fully utilized. Given that a large amount of small‐scale data is widely dist...

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Veröffentlicht in:	International journal of imaging systems and technology Jg. 33; H. 6; S. 1870 - 1881
Hauptverfasser:	Yang, Yuan, Zhang, Lin, Ren, Lei, Wang, Xiaohan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Wiley Subscription Services, Inc 01.11.2023
Schlagworte:	Classification Classifiers Computed tomography COVID-19 Datasets Hospitals Machine learning Medical imaging Neural networks Synthetic data Viral diseases
ISSN:	0899-9457, 1098-1098
Online-Zugang:	Volltext
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