“…Our goal is to estimate the ground truth loading value using only the data captured by the sensors of the mobile phone. …”
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“…RESULTS: For the internal evaluation on the 157 slides with ground truth labels from 5 pathologists, the deep neural network had a mean accuracy of 93.5% (95% CI, 89.6%-97.4%) compared with local pathologists’ accuracy of 91.4% (95% CI, 87.0%-95.8%). …”
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“…Image analysis data strongly predicted ground truth measures and were strongly positively correlated with these and all other estimates of DC responses. …”
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“…We find that while most algorithms offer predictive power for these ground truth data, no single method offers consistently reliable outcomes across all datasets and metrics. …”
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“…Using this two-step approach, a 98.6% overall accuracy of neural network segmentation based on direct comparison with ground-truth data could be achieved. Moreover, the comparative error rate in spike HTP detection and growth correlation among the ground truth, the algorithm developed by Qiongyan et al., and the proposed algorithm are discussed in this paper. …”
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“…Deviations between prediction and ground truth are likely to be related to speckle noise. …”
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“…We defined a realistic ground-truth scenario and compared the effectiveness of different biomarkers alone and combined to localize epileptogenic tissue during surgery. …”
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“…The average difference between the predicted detection and the ground-truth at the starting point and end point of the swallowing reflex was 0.210 and 0.056 s, respectively. …”
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“…Concordance rate between human observation and algorithm’s assessment was calculated. Ground truth was established by blinded annotation of the entire image set. …”
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“…In addition, we prepared ground truth segmentation labels for three different tuber weights. …”
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“…A previously reported velocity-based saccade detection algorithm was adapted and validated by assessing agreement between algorithm saccade detections and the number of correct saccade detections determined from manual video inspection (ground truth reference). MAIN RESULTS: Compared with video inspection, the IR algorithm detected ~97% (n=4888) and ~95% (n=3699) of saccades made by people with mTBI and controls, respectively, with excellent agreement to the ground truth (Intra-class correlation coefficient(2,1) = .979 to .999). …”
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“…However, their use in medical computer vision tasks faces several limitations, viz., (i) adapting to visual characteristics that are unlike natural images; (ii) modeling random noise during training due to stochastic optimization and backpropagation-based learning strategy; (iii) challenges in explaining DL black-box behavior to support clinical decision-making; and (iv) inter-reader variability in the ground truth (GT) annotations affecting learning and evaluation. …”
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“…In medical image segmentation, it is used to compare ground truth images with segmentations allowing their ranking. …”
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“…The average differences from ground truth in dose volume histogram metrics for clinical target volumes were less than 0.2 Gy for D(95%) and D(max) with no statistical significance. …”
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“…In contrast, a decrease of only 25% in NRMSE is obtained when an optimized (using knowledge of the ground truth) PS is performed. A 26% NRMSE decrease is obtained with both RM and optimized PS. …”
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“…We then evaluated how well each proxy reconstructed a ground-truth EEG obtained when the synaptic currents of the LIF model network were fed into a three-dimensional network model of multicompartmental neurons with realistic morphologies. …”
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“…It can serve as an important component in various ChIP-seq analyses where ground truth data are needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04097-5.…”
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“…Such efforts depend upon the accuracy of non-invasive brain imaging measures. However, ‘ground truth’ validation of connectivity using invasive tracers is not feasible in humans. …”
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“…These images and associated ground-truth data can be used to develop, test and validate image processing and analysis algorithms or to train and validate machine learning approaches. …”
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“…Four different scenarios are generated based on how far the object is from the multi-camera setup, and IOU overlap is calculated for each scenario (ground truth). When objects are detected correctly and bounding boxes are at correct distance, the IOU overlap value should be close to the ground truth IOU overlap value. …”
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