2017 tool box Search Results


90
MathWorks Inc 2017 tool box
2017 Tool Box, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/2017 tool box/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2017 tool box - by Bioz Stars, 2026-03
90/100 stars
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90
MathWorks Inc classifiers matlab 2017 classification learner tool box
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Classifiers Matlab 2017 Classification Learner Tool Box, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/classifiers matlab 2017 classification learner tool box/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classifiers matlab 2017 classification learner tool box - by Bioz Stars, 2026-03
90/100 stars
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90
MapleSoft Inc technical computing software maple 2017.3
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Technical Computing Software Maple 2017.3, supplied by MapleSoft Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/technical computing software maple 2017.3/product/MapleSoft Inc
Average 90 stars, based on 1 article reviews
technical computing software maple 2017.3 - by Bioz Stars, 2026-03
90/100 stars
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90
MapleSoft Inc maple 2017 software
Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the <t> MATLAB </t> <t> 2017 Tool Box </t> such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.
Maple 2017 Software, supplied by MapleSoft Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/maple 2017 software/product/MapleSoft Inc
Average 90 stars, based on 1 article reviews
maple 2017 software - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the  MATLAB   2017 Tool Box  such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.

Journal: Proceedings. International Conference on Image Processing

Article Title: EARLY ASSESSMENT OF RENAL TRANSPLANTS USING BOLD-MRI: PROMISING RESULTS

doi: 10.1109/ICIP.2019.8803042

Figure Lengend Snippet: Diagnostic performance evaluation of the proposed CAD system using different machine learning classifiers provided by the MATLAB 2017 Tool Box such that Acc: accuracy, Sens: sensitivity, Spec: specificity, and AUC: area under the curve.

Article Snippet: The matrix of global features of size 15 × 4 of mean R2* values at 7, 12, 17, and 22 ms were used with a LOOCV approach to train and test 8 different classifiers provided by MATLAB 2017 classification learner Tool Box (random forest (RF), linear discriminant analysis (LDA), logistic regression (logR), quadratic SVM (SVM Quad ), cubic SVM (SVM Cub ), radial basis function SVM ((SVM RBF ), ensemble bagged trees (EBT), and ANNs).

Techniques: Diagnostic Assay