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  1. 5361
    “…Pre-treatment MRIs were collected, annotated, and used as ground truth to learn and evaluate the deep learning model. …”
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  2. 5362
    por Peters, Reisha D., Noble, Scott D.
    Publicado 2023
    “…The microscopic and visual observations of the phenotypes were used as ground truth for comparison with the spectral classification. …”
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  3. 5363
    “…Participants will be randomly assigned in a 1:1:1 ratio in blocks of six to one of the three arms: (1) a 12-week course of varenicline titrated to 1 mg bid, brief behavioral counseling delivered by a lay counselor, and an introduction to This is Quitting (TIQ) texting support created by the Truth Initiative; (2) a 12-week course of placebo, brief behavioral counseling, and TIQ; and (3) 12 weeks of enhanced usual care, consisting of advice to quit and an introduction to TIQ. …”
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  4. 5364
    “…The overall positive rates for clinicians A and B were 53.15% versus 46.85%, and 54.05% versus 45.95%, respectively (P > .05) when CTV outlines from CUNet were blindly chosen and compared with the ground truth (GT). Furthermore, 8 test patients were randomly chosen to design the predicted plan based on the autocontouring CTVs and OARs, demonstrating acceptable agreement with the clinical plan: average absolute dose differences in mean value of D2, D50, D98, Dmax, and Dmean for PTV were within 0.74%, and average absolute volume differences in mean value of V45 and V50 for OARs were within 3.4%. …”
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  5. 5365
    “…Here, we used unmanned aerial vehicle (UAV) and satellite Sentinel‐2 (S2) imagery to establish a relationship between plant productivity and arthropod biomass estimated through ground‐truth field sampling in shrub steppes. We UAV‐sampled seven plots of 47.6–72.3 ha at a 4‐cm pixel resolution, subsequently downscaling spatial resolution to 50 cm resolution. …”
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  6. 5366
    “…An independent test dataset from another institution was also evaluated, using cardiac magnetic resonance (CMR) 2CH and 4CH segmentations as input and 3D CCTA segmentations as the ground truth (n = 20). For the 200 test cases generated from CCTA, the network achieved a mean Dice score value of 93.7%, showing excellent 3D shape reconstruction from two views compared with the 3D segmentation Dice of 97.4%. …”
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  7. 5367
    “…Transcranial Doppler (TCD) ultrasound measurements provided ground-truth estimates of CBF. Statistical analyses were applied to EBPi, TCD right middle cerebral artery blood flow velocity (rMCAv) and EEG relative Alpha (rAlpha) data to detect significant task-induced changes and correlations. …”
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  8. 5368
    “…Participants were then asked to complete brief online assessments of depressive (Quick Inventory of Depressive Symptomatology) and psychotic (Community Assessment of Psychic Experiences) symptoms outside of the clinic for comparison with the ground-truth in-person assessments. We found that online self-report ratings of severity were significantly correlated with the clinical assessments for depression (two assessments used: R = 0.63, p < 0.001; R = 0.73, p < 0.001) and psychosis (R = 0.62, p < 0.001). …”
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  9. 5369
    “…Segmentation accuracy was qualitatively and quantitatively evaluated between the ground truth and predicted ROIs in the different testing datasets. …”
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  10. 5370
    “…The performances of participants in each reading mode were compared with the ground truth and calculated in term of specificity, sensitivity, and ROC AUC. …”
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  11. 5371
    “…When trained using expert-user ground-truth labels, the locator scan positioning network achieved a sub-centimeter error (9.76±6.78 mm) on a test dataset. …”
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  12. 5372
    “…As a more generic validation, the publicly available MTBLS733 and MTBLS736 datasets were used for benchmarking, and UmetaFlow detected more than 90% of all ground truth features and performed exceptionally well in quantification and discriminating marker selection. …”
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  13. 5373
    “…Evaluation results show that the average precision of face detection was more than 97%, and the deviations between the detected rotation angle and the ground-truth rotation angle were less than 6.42° on all the test datasets. …”
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  14. 5374
  15. 5375
    “…METHODS: We developed and externally validated a hybrid step detection model that involves self-supervised machine learning, trained on a new ground truth annotated, free-living step count dataset (OxWalk, n=39, aged 19–81) and tested against other open-source step counting algorithms. …”
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  16. 5376
    “…Assuming dynamic programming-based pairwise alignment as the ground truth approach, we achieved a degree of convergence of more than 98% for coronavirus genus-level sequences and 93% for SARS-CoV-2 sequences using PC-mer in the alignment-free classification method. …”
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  17. 5377
  18. 5378
    “…The ICP classifier enhanced by artifact detection showed 0.9252 average accuracy with the ground-truth sets provided for validation. Discussion: Results indicate that our approach ensures sturdiness to experimental protocol maneuvers, besides it is effective, simple, and configurable for different studies that use unidimensional time dependent signals as data. …”
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  19. 5379
    “…We used a private dataset with 1174 non-cancer and 794 cancer images labelled at the image level with pathological ground truth confirmation. We used feature extractors (ResNet-18, ResNet-34, ResNet-50 and EfficientNet-B0) pre-trained on ImageNet. …”
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  20. 5380
    “…Comparing the adjudicated images from the specialist grading team, “ground truth”, with the grading by the AI platform in detecting “sight threatening” disease, at the patient level THEIA™ achieved 100% imageability, 100% [98.49–100.00%] sensitivity and [97.02–99.16%] specificity, and negative predictive value of 100%. …”
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