Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
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Updated
Feb 20, 2025 - R
Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests
ROC Analysis with Diagnostic Accuracy Tools for Jamovi
The Hellenic Complex Systems Laboratory (HCSL) GitHub repository.
In this study, we present an approach that utilizes the Squeeze and Excitation DenseNet (SEDenseNet) architecture to advance kidney disease analysis through image processing. The obtained outcome, specifically the accuracy rate, has been measured at an impressive 99.56%.
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