“…Beyond molecular-level test, based on gene-level ground truth, our method can bypass the inherent uncertainty from immunohistochemistry test. …”
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“…In addition, we generated consensus segmentations for experts and non-experts using the Simultaneous Truth and Performance Level Estimation method. These standardized, structured, and easily accessible data are a valuable resource for systematically studying variability in segmentation applications.…”
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“…Results: The results for the test set (not used during training) showed relative agreement between ML predictions and ground truth FE predictions. The accuracy of the XGBoost models were better than DL models. …”
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“…Trained annotators provided ground-truth labels annotating posture, ambulation, activity and location. …”
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“…This work provides a systematic evaluation across 8 state-of-the-art sleep algorithms on a common sleep data set with polysomnography (PSG) as ground truth. Despite the inclusion of recently published complex algorithms, simple regression-based and heuristic algorithms demonstrated slightly superior performance in sleep-wake classification and sleep outcome estimation. …”
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“…Impeding this goal is the fact that an appropriate null distribution for scRNAseq cannot simply be extracted from data when ground truth about biological variation is unknown (i.e., usually). …”
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“…For the simulated dataset, differences between the ground truth and the Root Mean Squared Error (RMSE) were evaluated. …”
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“…CONCLUSION: “Once a ganglion, always a ganglion” should not be taken as the Gospel truth. Histopathological diagnosis continues to remain as the gold standard, especially in cases of soft-tissue swellings of the hand. …”
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“…Psychophysiological and driving performance changes experienced by drivers when engaged in simulated tasks of varying difficulty were coupled with machine-learning techniques to provide a more accurate estimate of the ground truth for behavioral classification. A driving simulator study consisting of six tasks was carefully designed to incrementally vary complexity between individual tasks. …”
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“…We compared predicted sleep status at the epoch level and overall sleep parameters, taking PSG as the ground truth. RESULTS: Our method achieved sleep-wake classification accuracy of 84%, sensitivity of 95%, and specificity of 47%. …”
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“…A total of 888 reference points comprising of actual 86 GPS points and additional 802 points digitized using the Google Earth Pro free software were used to ground-truth the Sentinel-2 image classification. RESULTS: The results showed the random forest classification produced an overall accuracy of 87.83% (with kappa value of 0.85), while SVM achieved an overall accuracy of 86.31% with kappa value of 0.83. …”
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“…The fact that any one analysis typically shows only one view of the data also puts some parentheses around fMRI practitioners’ constant search for ground truth against which to compare their data. By holding our interpretations lightly and understanding that many interpretations of the data can all be true at the same time, we do a better job of preparing ourselves to appreciate, and eventually understand, the complexity of the brain and the behavior it produces.…”
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“…Particularly in cystoscopies it is not possible to produce ground truth depth information to directly train machine learning algorithms for using a monocular image directly for depth prediction. …”
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“…The Brix II also called 2CXM, and extended Tofts tracer-kinetics models common in DCE imaging are then applied to recover perfusion parameters that are compared with the ground truth parameters of the in silico spatiotemporal models. …”
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“…Tissue biopsies were obtained at these locations, labeled by a neuropathologist and used as ground truth for further analysis. OCT-scans were visually assessed with a qualitative classifier, optical OCT-properties were obtained and two artificial intelligence (AI)-assisted methods were used for automated scan classification. …”
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“…In the following study we implemented a machine learning-based approach for the fast and automatized quantification of microglial cells; this tool was compared with manual quantification (ground truth), and with alternative free-ware such as the threshold-based ImageJ and the machine learning-based Ilastik. …”
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“…The results were validated using continuous glucose monitor readings as ground truth. CONCLUSIONS: Our results indicate that the proposed approach can be a potential tool to detect hypoglycemia and can serve as a proactive, nonintrusive alert mechanism for hypoglycemic events.…”
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“…In this study, the ground truth mtDNA variants orthogonally validated by triple‐paired tumor, adjacent nontumor, and blood samples were used to develop mitoSomatic, a random forest‐based machine learning tool. …”
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“…The time and distance between the measured values and the ground truth previously determined by an orthodontist were analyzed. …”
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“…The analysis is performed using both standard validation tools based on [Formula: see text] spatial distance between the prediction and the ground truth and more sophisticated multi-scale analysis using wavelet decomposition. …”
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