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  1. 3381
    “…Indeed, as best as we know, it is the first work that investigates the validation of a CC parcellation method on ground-truth datasets using many objective metrics.…”
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  2. 3382
    “…CONCLUSIONS: The application of deep learning in herbarium sciences requires transparent and systematic protocols for generating training data so that these labor‐intensive resources can be generalized to other deep learning applications. Segmentation ground‐truth masks are hard‐won data, and we share these data and the model openly in the hopes of furthering model training and transfer learning opportunities for broader herbarium applications.…”
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  3. 3383
    “…When applied to ground-truth datasets having both reads and UMIs, quasi-UMI normalization has higher accuracy than competing methods. …”
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  4. 3384
    “…Our results indicated that a single-hidden-layer MLP could explain almost 65% of the correlation with ground truth for the holdout samples. Sensitivity analysis conducted on this model showed that the age-adjusted mortality rates of ischemic heart disease, pancreatic cancer, and leukemia, together with two socioeconomic and environmental factors (median household income and total precipitation), are among the most substantial factors for predicting COVID-19 incidence rates. …”
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  5. 3385
    “…The algorithm, trained on limited data and evaluated on clinically validated ground truth, has potential to assist OMF surgeons in detecting periapical lucencies on panoramic radiographs.…”
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  6. 3386
    “…Well-characterized reference NGS datasets with ground truth on the genotype composition at all examined loci and the exact frequencies of HIV variations they may harbor, so-called dry panels, would be essential in such cases. …”
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  7. 3387
    “…But the absence of a ground truth for a good correlation between surface and radiological information has impaired the development of potential clinical applications. …”
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  8. 3388
    “…AutoSklearn produced the best performing classifier, achieving an F1 score >92% on the ground truth test dataset. This automated approach is a useful strategy for filtering ROIs with relatively few labeled data points and can be easily added to pre-existing pipelines currently using CNMF-E for ROI extraction.…”
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  9. 3389
    “…The accuracies for mean particle size calculated from predicted contours compared with ground truth were in the range of 0.87–0.99. The results were compared with outcomes from other generally available software, based on conventional image processing methods. …”
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  10. 3390
    “…In the third stage, taking the input image [Formula: see text] as the ground truth RGBW CFA image, an [Formula: see text]-based refinement process is proposed to refine the quality of the demosaiced image obtained by the second stage. …”
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  11. 3391
    “…The segmented tumor regions are validated through ground truth analysis and manual analysis by a radiologist. …”
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  12. 3392
    “…These signals were independently annotated for signal quality by two clinicians, with the union of their annotations used as the ground-truth. Similar to any physiological signal recorded in a clinical setting, the utilized dataset is also unbalanced in favor of good quality segments. …”
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  13. 3393
    “…We perform a user study with 20 participants in order to obtain a ground truth for similarity of process models. We evaluate our approach on two data sets, the publicly available MIMIC database with the focus on different cancer patients in intensive care, and a database on breast cancer patients from a Dutch hospital. …”
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  14. 3394
    “…In addition, the classification results of ground truth are not ideal. To overcome the problem of the curse of dimensionality and improve classification accuracy, an improved spatial–spectral weight manifold embedding (ISS-WME) algorithm, which is based on hyperspectral data with their own manifold structure and local neighbors, is proposed in this study. …”
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  15. 3395
    “…In a compositional verification setting, where the system consists of processes executing in parallel, this partition allows us to decide whether each individual process can be minimized for either divergence-preserving branching (if the process contains only weak actions) or strong (otherwise) bisimilarity, while preserving the truth value of the formula. In this paper, we refine this idea by devising a family of bisimilarity relations, named sharp bisimilarities, parameterized by the set of strong actions. …”
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  16. 3396
    “…Strain values derived using DVC correlated well against manually calculated ground-truth measurements (R(2) = 0.98, n = 8). The technique ensures the full 3D micro-mechanical environment experienced by cells is intimately considered, enabling future studies to further examine scaffold designs for regenerative medicine.…”
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  17. 3397
    “…The deception rate was 19.5% of the total sample (24.3% of all those who claimed not to smoke), with a Cohen kappa of 0.48 and p < 0.000. 40% of patients confessed not having told the truth. No relationship of this data was found with age, accumulated tobacco consumption or FEV1. …”
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  18. 3398
    “…It also requires annotators to have technical skills in specific areas. Obtaining the ground truth is difficult because natural images are expensive. …”
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  19. 3399
    “…Using a dataset of manually analyzed images from a variety of murine tissues as a ground‐truth, REAVER exhibited high accuracy and precision for all vessel architecture metrics quantified, including vessel length density, vessel area fraction, mean vessel diameter, and branchpoint count, along with the highest pixel‐by‐pixel accuracy for the segmentation of the blood vessel network. …”
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  20. 3400
    “…AI algorithms need equally skilled manpower, trained optometrists/ophthalmologists (annotators) to provide accurate ground truth for training the images. The basis of diagnoses made by AI algorithms is mechanical, and some amount of human intervention is necessary for further interpretations. …”
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