Concatenation of Pre-Trained Convolutional Neural Networks for Enhanced COVID-19 Screening Using Transfer Learning Technique
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Title
Concatenation of Pre-Trained Convolutional Neural Networks for Enhanced COVID-19 Screening Using Transfer Learning Technique
Authors
Keywords
-
Journal
Electronics
Volume 11, Issue 1, Pages 103
Publisher
MDPI AG
Online
2021-12-29
DOI
10.3390/electronics11010103
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- (2019) Prerna Sharma et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
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