Results of evaulate metrics on the breast cancer test data and 0.5 noisy ratio.
- Ben Liu (143682)
- Yu Lin (370243)
Publication date
December 2023
DOIAbstract
Results of evaulate metrics on the breast cancer test data and 0.5 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.5 noisy ratio.</p
<p>Results of the base-case analysis and probabilistic sensitivity analysis: Women.</p
<p>Statistical results of sensitivity between different detection methods of 27 smear negative patie...
<p>Results for density and dimensional stability tests for some breast phantoms.</p
Results of evaulate metrics on the breast cancer test data and 0.5 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.3 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.3 noisy ratio.</p
MammoWave’s performance in breast lesions detection against reference standard.</p
The testing accuracies and execution time for six classifiers on different-scale datasets with noise...
Comparison of non-zero maize production pixels between original and robustness test estimates.</p
Statistical results of the filtering performance in terms of R-beak detection.</p
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
A ic a u K ghian are due to noise in the data. This enhances the final result and
<p>Results of the new GLM analysis using ranked speech scores in noise with a CI as the dependent va...
<p>Results of the base-case analysis and probabilistic sensitivity analysis: Women.</p
<p>Statistical results of sensitivity between different detection methods of 27 smear negative patie...
<p>Results for density and dimensional stability tests for some breast phantoms.</p
Results of evaulate metrics on the breast cancer test data and 0.5 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.1 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.3 noisy ratio.</p
Results of evaulate metrics on the breast cancer test data and 0.3 noisy ratio.</p
MammoWave’s performance in breast lesions detection against reference standard.</p
The testing accuracies and execution time for six classifiers on different-scale datasets with noise...
Comparison of non-zero maize production pixels between original and robustness test estimates.</p
Statistical results of the filtering performance in terms of R-beak detection.</p
Performance metrics for the logistic regression models predicting breast cancerb'*'.</p
A ic a u K ghian are due to noise in the data. This enhances the final result and
<p>Results of the new GLM analysis using ranked speech scores in noise with a CI as the dependent va...
<p>Results of the base-case analysis and probabilistic sensitivity analysis: Women.</p
<p>Statistical results of sensitivity between different detection methods of 27 smear negative patie...
<p>Results for density and dimensional stability tests for some breast phantoms.</p
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