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1361“…Correct ground truth leads to a mean epicenter error of 2.0 km in predictions, but adding a mean location error of 6.3 km to ground truth causes a mean epicenter error of 4.9 km. …”
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1362por Chaganti, Shikha, Grenier, Philippe, Balachandran, Abishek, Chabin, Guillaume, Cohen, Stuart, Flohr, Thomas, Georgescu, Bogdan, Grbic, Sasa, Liu, Siqi, Mellot, François, Murray, Nicolas, Nicolaou, Savvas, Parker, William, Re, Thomas, Sanelli, Pina, Sauter, Alexander W., Xu, Zhoubing, Yoo, Youngjin, Ziebandt, Valentin, Comaniciu, Dorin“…Correlation and regression analyses were performed to compare the prediction to the ground truth. RESULTS: Pearson correlation coefficient between method prediction and ground truth for COVID-19 cases was calculated as 0.92 for PO (P < .001), 0.97 for PHO (P < .001), 0.91 for LSS (P < .001), 0.90 for LHOS (P < .001). 98 of 100 healthy controls had a predicted PO of less than 1%, 2 had between 1-2%. …”
Publicado 2020
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1363“…For each case, the CT and the AAA dose were used as the input and the AXB dose as the “ground‐truth” output, to train and test the model. The mean squared errors (MSEs) and gamma passing rates (2 mm/2% & 1 mm/1%) were calculated between the boosted AAA doses and the “ground‐truth” AXB doses. …”
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1364por King, Daniel J., Novak, Jan, Shephard, Adam J., Beare, Richard, Anderson, Vicki A., Wood, Amanda G.“…Simulated lesion cases were compared to the “ground truth” of the non-lesion control-case T1w images. …”
Publicado 2020
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1365“…Subsequently, we explore the how metrics of cardiac kinematics compare between ground-truth contours and predicted boundaries. We observed negligible deviations from ground-truth when using predicted boundaries alone, except in the case of early diastolic strain rate, providing confidence for the use of such machine learning models for rapid and reliable assessments of murine cardiac function. …”
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1366“…Other selectors without the knowledge of the ground truth label of the original image are also presented. …”
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1367por Graf, John, Cho, Sanghee, McDonough, Elizabeth, Corwin, Alex, Sood, Anup, Lindner, Andreas, Salvucci, Manuela, Stachtea, Xanthi, Van Schaeybroeck, Sandra, Dunne, Philip D, Laurent-Puig, Pierre, Longley, Daniel, Prehn, Jochen H M, Ginty, Fiona“…To evaluate differences, it is critical to have a ground truth dataset that is representative of the assay. …”
Publicado 2021
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1368“…First, we collect radiologist-annotated explanations of the CT images for the diagnosis of COVID-19 to create the ground truth. We then compare ground truth explanations with machine learning explanations. …”
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1369“…BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. …”
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1370“…Furthermore, even if the network uses absolute ground truth, the network may assign the incorrect line if the center coordinates of characters are biased in one direction. …”
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1372
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1373
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1374por Austin, J. L. (John Langshaw), 1911-1960Tabla de Contenidos: “…The meaning of a word -- 3. Other minds -- 4. Truth -- 5. Unfair to facts -- 6. A plea for excuses -- 7. …”
Publicado 1961
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1376
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1377por McGowan, Daniel R., Macpherson, Ruth E., Hackett, Sara L., Liu, Dan, Gleeson, Fergus V., McKenna, W. Gillies, Higgins, Geoff S., Fenwick, John D.“…Two different models (two‐ and three‐tissue) were fitted to 30 measured voxel TACs to provide ground‐truth TACs for a statistical simulation study. Appropriately scaled noise was added to each of the resulting ground‐truth TACs, generating 1000 simulated noisy TACs for each ground‐truth TAC. …”
Publicado 2017
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1378
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1379
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1380