On a public chest X-ray dataset, VGG19 is reported to outperform SVM, XGBoost, MLP, and ResNet50 in accuracy, AUC, F1, and recall, but without a reproducible evaluation protocol.
A hybrid convolutional neural network model to detect COVID -19 and pneumonia using chest X -ray images,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
On a public chest X-ray dataset, VGG19 is reported to outperform SVM, XGBoost, MLP, and ResNet50 in accuracy, AUC, F1, and recall, but without a reproducible evaluation protocol.