Accuracy results of MR-KNN and KNN-IS compared to the proposed methods in the test stage with 5-fold-CV.</p
<p>The assay parameters for the CT and MR methods are provided for each rater and for the consensus ...
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
Accuracy results of RC-KNN and LC-KNN compared to the proposed methods in the test stage, with 10-fo...
Accuracy results of MDT1and MDT2 compared to the proposed methods in the test stage, with different ...
Accuracy comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
Comparison of accuracy and feature dimension under different methods based on KCCAmRMR.</p
(Color online) the Precision and RankingSocre of improved KNN approach with different parameter θ.</...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
<p>Comparison of accuracy within 30% and within 10% of estimating equations by exact McNemar tests.<...
<p>Naive-Bayes algorithm, the KNN algorithm, one-to-one SVM, one-to-the-other SVM, one-to-one WPSVM ...
<p>The assay parameters for the CT and MR methods are provided for each rater and for the consensus ...
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
Accuracy results of RC-KNN and LC-KNN compared to the proposed methods in the test stage, with 10-fo...
Accuracy results of MDT1and MDT2 compared to the proposed methods in the test stage, with different ...
Accuracy comparisons of ten experiments with SVM, KNN, BPNN, CNN, ResNet, FA+ResNet models.</p
Comparison of accuracy and feature dimension under different methods based on mRMR.</p
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
Comparison of accuracy and feature dimension under different methods based on KCCAmRMR.</p
(Color online) the Precision and RankingSocre of improved KNN approach with different parameter θ.</...
Comparison of accuracy for different approaches, where small value indicates good performance and bo...
<p>Classification accuracy comparison of the proposed research with the state-of-the-art methods.</p
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
<p>Comparison of accuracy within 30% and within 10% of estimating equations by exact McNemar tests.<...
<p>Naive-Bayes algorithm, the KNN algorithm, one-to-one SVM, one-to-the-other SVM, one-to-one WPSVM ...
<p>The assay parameters for the CT and MR methods are provided for each rater and for the consensus ...
Comparison of accuracy for different approaches based on multi-scale descriptors, where small value ...
<p>Accuracy values at different m values for participants K3, K6 and L1. The mean accuracy value pea...
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