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  1. 5021
    “…To assess the agreement between the predicted volume and the ground truth, several metrics including Dice similarity coefficient (DSC), Jaccard index, sensitivity, precision, Hausdorff distance (HD), 95(th) percentile Hausdorff distance (HD95), and average symmetric surface distance (ASSD) were utilized. …”
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    Online Artículo Texto
    Assessment of Optimizers and their Performance in Autosegmenting Lung Tumors
  2. 5022
    “…Populations who have endured colonization are at higher risk of developing chronic diseases. Canada’s Truth and Reconciliation Commission emphasizes reducing barriers to participation in physical activity and recommends the creation of culturally relevant and supportive policies and programing. …”
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    Spread of Makoyoh’sokoi (Wolf Trail): a community led, physical activity-based, holistic wellness program for Indigenous women in Canada
  3. 5023
    “…The meetings added recommendations such as enhancing psychosocial support, preventing ghettoization, improving social housing, preventing the interruption of language education in times of crisis, severe penalties for media stigmatisation and proactive truth-telling. The final list included 30 actions. …”
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    Strengthening the social resilience of people living at the intersection of precariousness and migration during pandemics: action recommendations developed in Munich, Germany
  4. 5024
    “…The dataset for testing our algorithm contains 700 total SDs in 12 severe TBI patients who underwent decompressive hemicraniectomy (DHC), labeled using ground-truth intracranial EEG recordings. We utilize simultaneously recorded, continuous, low-density (19 electrodes) scalp EEG signals, to quantify the detection accuracy of WAVEFRONT in terms of true positive rate (TPR), false positive rate (FPR), as well as the accuracy of estimating SD frequency. …”
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    Online Artículo Texto
    Noninvasive and reliable automated detection of spreading depolarization in severe traumatic brain injury using scalp EEG
  5. 5025
    “…Most types of input data retrieved a similar dose to the ground truth for organs at risk (p > 0.05). Overall, the two-dimensional model had higher performance than the three-dimensional model (p < 0.05). …”
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    Comparing of two dimensional and three dimensional fully convolutional networks for radiotherapy dose prediction in left-sided breast cancer
  6. 5026
    “…METHODS: Primary data was obtained from two RCTs on the treatment of depression. Ground truth were DSM 5 MDE diagnoses based on structured clinical interviews (SCID) and PHQ-9 self-report, clinician-rated QIDS-16, and HAM-D-17 were predictors. …”
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    Optimizing the predictive power of depression screenings using machine learning
  7. 5027
    “…Finally, using ground-truth identification of cortical inhibitory cell types with optotagging, we found that cell type was discriminable with approximately 75% success among three types, a significant improvement over lower-resolution recordings. …”
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    Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings
  8. 5028
    “…Both the initial density map and the land cover map have been generated by using very high resolution satellite images and validated by means of ground truth data provided by the EU Life Alta Murgia Project (LIFE12 BIO/IT/000213), a project aimed at the eradication of A. altissima in the Alta Murgia National Park.…”
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    Using remote sensing data within an optimal spatiotemporal model for invasive plant management: the case of Ailanthus altissima in the Alta Murgia National Park
  9. 5029
    “…Although AI use is increasing steadily in different medical specialties, the truth is, most of the time, the gap between model development and clinical implementation is not closed. …”
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    Artificial intelligence in esophageal cancer diagnosis and treatment: where are we now?—a narrative review
  10. 5030
    por Kolar, D., Kolar, M.
    Publicado 2023
    “…CONCLUSIONS: This comprehensive historical review of the relationship between psychoanalysis, philosophy and literature demonstrates that all these disciplines have much in common, particularly in their intention to approach truth from different angles. Psychoanalysis is a science and applies scientific methodology in its theory and treatment. …”
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    Psychoanalysis, Philosophy and Literature- Intersection of Science and Art
  11. 5031
    “…It is not a mere application of empathy but a truth overcoming, for trainees, of major risks of collusion due to reflection of individual conflicts into the patients and/or due to the encounter with strong emotion during clinical training. …”
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    Relevance of Group Training for Psychiatrists: an Experiential-Strategic model.
  12. 5032
    “…For 2 additional patients (22 CTs), we compute the contour overlap between real and generated images, and compare the sampled and ‘ground truth’ distributions of volume and center of mass changes. …”
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    A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy
  13. 5033
    “…CONCLUSION: The proposed simulation strategy is able to predict movement-induced B(0) field inhomogeneities yielding more precise estimates of the ground truth field homogeneity than the transformed FM. …”
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    Prediction of motion induced magnetic fields for human brain MRI at 3 T
  14. 5034
    “…The localization error (LE) was computed as the Euclidean distance between the ground truth and the inversely estimated origin of the PVC. …”
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    A two-step inverse solution for a single dipole cardiac source
  15. 5035
    “…The shape, height, and width of the alveolar bone defect were assessed in automatically segmented maxillary 3D surface models to determine the ground truth classification index of its severity. The novel classifier algorithm renders the 3D surface models from different viewpoints and captures 2D image snapshots fed into a 2D Convolutional Neural Network. …”
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    Interpretable artificial intelligence for classification of alveolar bone defect in patients with cleft lip and palate
  16. 5036
    “…Improvements between uncompensated and optically and acoustically compensated PAT (OAcPAT) were quantified as the relative percent error between the measured results and the ground truth. RESULTS: The results of our phantom studies demonstrate that OAcPAT can significantly improve the accuracy of sPAT measurements in a heterogenous medium and especially at larger inclusions depths which can reach to up to 12% improvement in measurement errors. …”
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    Wavelength-dependent error minimization for quantitative spectroscopic photoacoustic tomography with a ring-array system
  17. 5037
    “…For flesh-colour the trained Linear Regression and Random Forest Regression models attained [Formula: see text] values of 0.92 and 0.87, respectively, against the ground truth values given by a human sensory panel. In contrast, the Random Forest Regressor and Gradient Boosting model attained [Formula: see text] values of 0.85 and 0.80, respectively, for the prediction of mealiness. …”
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    Using machine learning for image-based analysis of sweetpotato root sensory attributes
  18. 5038
    por Healy, Sean S., Stephan, Carl N.
    Publicado 2023
    “…In total, 1709 frontal and 1709 profile photographs of 10 adult participants were tested at 15 ground truth FDs using three DSLR cameras with 12 camera/lens combinations, five smartphone back cameras and four smartphone front cameras. …”
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    Focus distance estimation from photographed faces: a test of PerspectiveX using 1709 frontal and profile photographs from DSLR and smartphone cameras
  19. 5039
    “…For bilateral kidney segmentation of the non-RD group, the best performance was obtained when using IP image, with a Dice score of 0.902 ± 0.034, average surface distance of 1.46 ± 0.75 mm, and a difference of − 27 ± 21 mL between ground-truth and automatically computed volume. Slightly worse results were obtained for the combined data of the RD and non-RD groups and for unilateral kidney segmentation, particularly when segmenting the right kidney from the OP images. …”
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    The utility of automatic segmentation of kidney MRI in chronic kidney disease using a 3D convolutional neural network
  20. 5040
    “…We compared the model predictions for slide images with ground-truth annotations generated by an accredited pathologist. …”
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    Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury
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