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Image Search Results
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: Performance of the developed COVID-19 detection models on the unseen dataset.
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques:
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: Performance comparison of hybrid based DHL and Softmax classifier-based implementation of well-established CNN models.
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques: Comparison
Journal: Computers in Biology and Medicine
Article Title: COVID-19 detection in chest X-ray images using deep boosted hybrid learning
doi: 10.1016/j.compbiomed.2021.104816
Figure Lengend Snippet: ROC curve for the proposed frameworks (DHL, DBHL), the developed and well-established CNN Models. The square bracket values represent the tolerance or error, calculated at a 95% confidence interval .
Article Snippet: To identify the significance of exploitation of deep feature engineering, for comparison purposes, we have used a
Techniques: