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  1. 5761
    “…METHODS: A nine structure semantic segmentation model of the heart and great vessels was developed using 200 patients (80/20/100 training/validation/internal testing) with testing in 20 external patients. Ground truth segmentations were performed by consultant cardiothoracic radiologists. …”
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    Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning
  2. 5762
    “…However, it is hard to evaluate these methods since no ground truth is provided. Spatial transcriptomics (ST) data profiles the relative position of different cells. …”
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    Evaluation of cell-cell interaction methods by integrating single-cell RNA sequencing data with spatial information
  3. 5763
    “…DeepMeta was trained to perform lung and metastases segmentation based on the resulting ground truth annotations. Volumes of lungs and of pulmonary metastases as well as the number of metastases per mouse were measured on a separate test dataset of MR images. …”
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    Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images
  4. 5764
    “…We compared algorithm predictions to the ground truth of histopathologic evaluation. We provide step-by-step instructions with accompanying code lines. …”
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    Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison
  5. 5765
    “…The knee alignment using the radiological ankle centre was accurate against ground truth radiologist measurements (inter-class correlation coefficient (ICC) = 0.99 (0.98 to 0.99)). …”
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    Comparison of tibial alignment parameters based on clinically relevant anatomical landmarks: a deep learning radiological analysis
  6. 5766
    “…RF models were built to predict transport modes for every minute (ground truth information on modes is from a GPS-based mobility survey), splitting observations between a Training dataset and a Test dataset at the participant level instead at the minute level. …”
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    Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data
  7. 5767
    por Agarwal, Vikram, Kelley, David R.
    Publicado 2022
    “…CONCLUSIONS: Our work produces a more robust ground truth for transcriptome-wide mRNA half-lives in mammalian cells. …”
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    The genetic and biochemical determinants of mRNA degradation rates in mammals
  8. 5768
    “…The automated digitisation tool achieved 99.0% correlation between the digitised signals and the ground truth ECG (n = 515 standard 3-by-4 ECGs) after excluding ECGs with overlap of lead signals. …”
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    A fully-automated paper ECG digitisation algorithm using deep learning
  9. 5769
    “…METHODS: A poststructural discourse analysis, employing the theoretical ideas of truth, power, knowledge, subjectivity, and normalization, was conducted to explore the mass media's constructions of nurse as hero in the contexts of COVID-19. …”
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    The “nurse as hero” discourse in the COVID-19 pandemic: A poststructural discourse analysis
  10. 5770
    “…Agreement between the TPS and IC was used to define the ground truth plan failure. To reduce the on-site personnel during the pandemic, 2 methods of receiver operating characteristic analysis (n = 1464) and machine learning (n = 603) were used to identify patient plans that would require physical dose measurements. …”
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    Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance
  11. 5771
    “…Critical appraisal of the obtained prevalence rates and triangulation with other sources are recommended over “the higher rate must be closer to the truth” heuristics. Non-compliance appears to be the Achilles heel of the indirect estimation models thus it should be routinely tested for and minimised. …”
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    Hidden figures: Revisiting doping prevalence estimates previously reported for two major international sport events in the context of further empirical evidence and the extant literature
  12. 5772
    por Ryu, Chan Ju
    Publicado 2022
    “…A single U-Net was trained using a divided dataset for one of these zones. Ground truth segmentations were obtained by manual delineation and thresholding (1.5 × background). …”
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    Automatic lesion detection and segmentation in (18)F-flutemetamol positron emission tomography images using deep learning
  13. 5773
    “…The remaining data were used as a hold-out test set. Ground truth was generated by a board-certified radiologist and a radiology resident. …”
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    Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy
  14. 5774
    “…Six neuroradiologists created the ground truth (GT). Additional Internal validation (IV, three institutions) using 70 MRIs, and External validation (EV, single institution) using 40 MRIs through measuring the Dice Similarity Coefficient (DSC) of Enh., Ed. ,and Enh. + Ed. …”
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    NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics
  15. 5775
    “…MAIN OUTCOMES AND MEASURES: The primary analysis outcome for GA was the mean difference in absolute error between the GA model estimate and the clinical standard estimate, with the ground truth GA extrapolated from the initial GA estimated at an initial examination. …”
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    Development of a Machine Learning Model for Sonographic Assessment of Gestational Age
  16. 5776
    por Angloher, G., Banik, S., Bartolot, D., Benato, G., Bento, A., Bertolini, A., Breier, R., Bucci, C., Burkhart, J., Canonica, L., D’Addabbo, A., Di Lorenzo, S., Einfalt, L., Erb, A., Feilitzsch, F. v., Iachellini, N. Ferreiro, Fichtinger, S., Fuchs, D., Fuss, A., Garai, A., Ghete, V. M., Gerster, S., Gorla, P., Guillaumon, P. V., Gupta, S., Hauff, D., Ješkovský, M., Jochum, J., Kaznacheeva, M., Kinast, A., Kluck, H., Kraus, H., Lackner, M., Langenkämper, A., Mancuso, M., Marini, L., Meyer, L., Mokina, V., Nilima, A., Olmi, M., Ortmann, T., Pagliarone, C., Pattavina, L., Petricca, F., Potzel, W., Povinec, P., Pröbst, F., Pucci, F., Reindl, F., Rizvanovic, D., Rothe, J., Schäffner, K., Schieck, J., Schmiedmayer, D., Schönert, S., Schwertner, C., Stahlberg, M., Stodolsky, L., Strandhagen, C., Strauss, R., Usherov, I., Wagner, F., Willers, M., Zema, V., Waltenberger, W.
    Publicado 2023
    “…We show on an exemplary detector that about half of the wrongly predicted events are in fact wrongly labeled events, and a large share of the remaining ones have a context-dependent ground truth. We furthermore evaluate the recall and selectivity of our classifiers with simulated data. …”
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    Towards an automated data cleaning with deep learning in CRESST
  17. 5777
    “…As an immutable, time-stamped, near-real-time (50-millisecond latency), auditable record of transactions, BRUINchain makes it possible for supply chain communities to arrive at a single version of the truth. BRUINchain was tested using real data on real caregivers administering life-saving medications to real patients at one of the busiest pharmacies in the United States. …”
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    The Last Mile: DSCSA Solution Through Blockchain Technology: Drug Tracking, Tracing, and Verification at the Last Mile of the Pharmaceutical Supply Chain with BRUINchain
  18. 5778
    “…We evaluated the scTEP using 41 real scRNA-seq data sets, all of which had the ground truth development trajectory. We compared the scTEP with state-of-the-art methods using the aforementioned data sets. …”
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    A robust and accurate single-cell data trajectory inference method using ensemble pseudotime
  19. 5779
    “…Second, we estimate the true signal by aggregating the output of the sensors based on their credibility, a technique originally developed for “truth discovery” in social sensing applications. …”
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    A new paradigm of reliable sensing with field-deployed electrochemical sensors integrating data redundancy and source credibility
  20. 5780
    “…After exclusion of nine images with incomplete annotation, intraclass correlations between readers were calculated for both modalities among 115 images, and reader performance was compared to ground truth (OAI consensus). Accuracy, sensitivity and specificity were also calculated and the results were compared to those from a previous study on junior readers. …”
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    Artificial intelligence-based computer-aided system for knee osteoarthritis assessment increases experienced orthopaedic surgeons’ agreement rate and accuracy
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