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  1. 3761
    por Zhang, Maoyi, Ding, Changqing, Guo, Shuli
    Publicado 2022
    “…For efficient network training, we constructed a data set containing 218 TD and related ground truth (GT). We evaluated different models based on the proposed data set, among which the highest MIOU can reach 0.92. …”
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    Analysis of Tracheobronchial Diverticula Based on Semantic Segmentation of CT Images via the Dual-Channel Attention Network
  2. 3762
    “…The study highlighted the need for scientifically informed citizens to deal with the problems, i.e., misinformation and disinformation, in the post-truth era such as not jeopardizing effective solutions to eliminate the pandemic, e.g., taking the vaccine.…”
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    Exploring the Role of Trust in Scientists to Explain Health-Related Behaviors in Response to the COVID-19 Pandemic
  3. 3763
    “…The data was analysed to obtain the horizontal position error between Global Positioning System (GPS) position and ground truth derived from Real Time Kinematics (RTK), with considerations for (1) horizontal position uncertainty estimate (EPH) reported by the GPS receiver, (2) no. of visible satellites, and (3) percentage of sky visible (or sky openness ratio, SOR) at various altitudes along the flight paths inside the aforementioned urban environments. …”
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    Investigation of Using Sky Openness Ratio as Predictor for Navigation Performance in Urban-like Environment to Support PBN in UTM
  4. 3764
    “…The proposed CNN is trained with a specially designed loss function that enforces the translation and rotation invariance of the SM map and enables the detection of matches that have no associated ground truth data (e.g., multiple matches for repetitive textures). …”
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    Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network
  5. 3765
    “…The study of stroke has historically made use of traditional spectroscopy techniques to provide the ground truth for parameters like pH. However, techniques like (31)P spectroscopy have limitations, in particular poor temporal and spatial resolution, coupled with a need for a high field strength and specialized coils. …”
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    Magnetic Resonance pH Imaging in Stroke – Combining the Old With the New
  6. 3766
    “…Through the advancements in recent decades, childhood acute lymphoblastic leukemia (ALL) is gradually becoming a highly curable disease. However, the truth is there remaining relapse in ∼15% of ALL cases with dismal outcomes. …”
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    Effects of NRAS Mutations on Leukemogenesis and Targeting of Children With Acute Lymphoblastic Leukemia
  7. 3767
    “…A 3D V-NET model has been trained to generate segmentations with soft dice loss. Ground truth segmentation has been generated using a combination of different thresholds (TMTVprob), applied to the manual region of interest (Otsu, relative 41% and SUV 2.5 and 4 cutoffs). …”
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    Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas
  8. 3768
    “…These results demonstrate how the evolution of a folded domain from a peptide need not be a signature of antiquity and underpin an emerging truth: few protein lineages escape nature’s sewing table.…”
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    Evidence for the emergence of β-trefoils by ‘Peptide Budding’ from an IgG-like β-sandwich
  9. 3769
    “…When applied to the dPET experimental images, the PVE correction equations were able to successfully correct the image-derived input functions by as much as 59 ± 35% in the presence of background, which resulted in image-derived area under the curve (AUC) values within 8 ± 9% of ground truth AUC. The peak heights were similarly well corrected to within 9 ± 10% of the scaled DCE-CT curves. …”
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    Phantom Validation of a Conservation of Activity-Based Partial Volume Correction Method for Arterial Input Function in Dynamic PET Imaging
  10. 3770
    “…Low DSC scores were primarily observed around the scan margin or due to non-liver tissue or distortions within ground-truth annotations. In general, training with synth-DECT scans resulted in improved segmentation performance with less data.…”
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    Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans
  11. 3771
    “…The dataset also contains the timestamps of the ON-OFF transitions of the monitored appliances for the entire deployment duration, providing the necessary ground truth for the evaluation of machine learning problems, particularly Non-Intrusive Load Monitoring. …”
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    A residential labeled dataset for smart meter data analytics
  12. 3772
    por Zhou, Qiaoer, He, Tingting, Zou, Yuanwen
    Publicado 2022
    “…When developing deep learning-based segmentation methods, we need a large number of human-annotated labels to serve as ground truth for model-supervised learning. Due to the complexity of dermatological images and the subjective differences of different dermatologists in decision-making, the labels in the segmentation target boundary region are prone to produce uncertain labels or error labels. …”
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    Superpixel-Oriented Label Distribution Learning for Skin Lesion Segmentation
  13. 3773
    por Li, Ding, Dick, Scott
    Publicado 2022
    “…We then augment our algorithm with a weighting strategy to allow differential influence on a model between instances having ground-truth vs. induced labels. Experiments on four benchmark multi-label data sets show that the resulting algorithm performs better overall compared to the existing semi-supervised multi-label classification algorithms at various levels of label sparsity. …”
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    Semi-supervised multi-label classification using an extended graph-based manifold regularization
  14. 3774
    por Yang, Jianzhi, Chaisson, Mark J.P.
    Publicado 2022
    “…In repetitive regions of the genome, it may be difficult to establish what is the truth for a call, for example, when different alignment scoring metrics provide equally supported but different variant calls on the same data. …”
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    TT-Mars: structural variants assessment based on haplotype-resolved assemblies
  15. 3775
    “…Our model fitted the ground truth counts with an R(2) value of 0.93, a normalized root mean squared error of 0.07, and a mean absolute percentage error of 13.7%. …”
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    Cotton Yield Estimation From Aerial Imagery Using Machine Learning Approaches
  16. 3776
    por Pan, Xiao, Li, Caiqin, Cai, Yanqun, Wu, Susu
    Publicado 2022
    “…The purpose of this study was to decide the molecular traits and potential medicine-based importance of UHRF1 that helped settle methylated immune infiltration in generalized cancer by carefully studying the relationship between UHRF1 expression and a variety of tumors and to further check for truth the functional role of UHRF1 in kidney-related cancer. …”
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    Comprehensive Pan-Cancer Analysis Reveals the Role of UHRF1-Mediated DNA Methylation and Immune Infiltration in Renal Cell Carcinoma
  17. 3777
    “…Both stages of quince images classified as unripe and ripe were annotated using ground truth ROI and presented in YOLO format. The dataset contains 1515 high-resolution RGB .jpg images with the same number of annotated .txt files. …”
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    QuinceSet: Dataset of annotated Japanese quince images for object detection
  18. 3778
    “…Stochastic simulation is a key tool in population genetics, since the models involved are often analytically intractable and simulation is usually the only way of obtaining ground-truth data to evaluate inferences. Because of this, a large number of specialized simulation programs have been developed, each filling a particular niche, but with largely overlapping functionality and a substantial duplication of effort. …”
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    Efficient ancestry and mutation simulation with msprime 1.0
  19. 3779
    “…However, there is a lack of ground truth for this probability score in the existing datasets. …”
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    Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction
  20. 3780
    “…TMS applied to the parietal cortex exerted a latency-specific increase in inverse efficiency score and in reaction time when subjects were instructed to lie relative to when asked to respond with the truth, and this effect was specific to when TMS was applied at 240 ms after stimulus onset. …”
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    Effects of Online Single Pulse Transcranial Magnetic Stimulation on Prefrontal and Parietal Cortices in Deceptive Processing: A Preliminary Study
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