An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19

DOI10.1080/02664763.2020.1849057OpenAlexW3108277758MaRDI QIDQ6157127

No author found.

Publication date: 19 June 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930854

zbMATH Keywords

feature extractionmachine learningdeep learningCOVID-19chest-X-ray

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: Statistical Approaches for Big Data and Machine Learning

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