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  1. 5501
    “…DESIGN: Training and evaluation of a neural network were performed using a total of n=1206 tissue sections with comprehensive multi-omic data from three independent datasets (training on FOCUS trial, n=278 patients; test on rectal cancer biopsies, GRAMPIAN cohort, n=144 patients; and The Cancer Genome Atlas (TCGA), n=430 patients). Ground truth CMS calls were ascertained by matching random forest and single sample predictions from CMS classifier. …”
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    Image-based consensus molecular subtype (imCMS) classification of colorectal cancer using deep learning
  2. 5502
    “…CT images, and three fiducial markers were used as ground truth for geometric distortion measurements. The distance between fiducial markers increased by as much as 7.2 mm on the MR‐LINAC at gantry angle 60°. …”
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    Evaluation of diffusion‐weighted MRI and geometric distortion on a 0.35T MR‐LINAC at multiple gantry angles
  3. 5503
    “…The approaches were evaluated with the Pearson correlation coefficient between the predicted scores and ground truth of the official training and test dataset. …”
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    Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study
  4. 5504
    “…The goal of our approach is to lower the difference between the predicted CGM values and the fingerstick blood glucose readings—the ground truth. Our results indicate that the proposed approach is feasible for more reliable BG forecasting that might improve the performance of the artificial pancreas and insulin infusion system for T1D diabetes management.…”
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    Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
  5. 5505
    “…A receiver operating characteristic (ROC) curve was used to determine the best sensitivity and specificity for an 8Δ threshold (recommended by AAPOS) with the PACT measurement as ground truth. RESULTS: The nurse obtained at least one successful app measurement for 93% of children (125/133). 40 were flagged for PACT, of which 6 were confirmed to have strabismus, including 4 exotropia (10△, 10△, 14△ and 18△), 1 constant esotropia (25△) and 1 accommodative esotropia (14△). …”
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    A smartphone ocular alignment measurement app in school screening for strabismus
  6. 5506
    “…After digitalizing the slides, tumor areas were annotated and overlaid onto the images by pathologists as the ground truth for AI training. To reduce the pathologists’ workload, AI-assisted annotation was established in collaboration with university AI teams. …”
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    Development and operation of a digital platform for sharing pathology image data
  7. 5507
    “…The analysis was accurate and precise when compared with ground truth clinical manual counting and scoring reported in ten lymphoma and solid tumors cases. …”
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    Automated 3D scoring of fluorescence in situ hybridization (FISH) using a confocal whole slide imaging scanner
  8. 5508
    “…Participants generally wanted to know “the truth” about diagnosis and prognosis, but what they meant varied; some desired full honest information to allow for autonomous choices, others preferred general information without details, and some wanted no bad news at all, only positive information. …”
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    “Do I want to know it all?” A qualitative study of glioma patients’ perspectives on receiving information about their diagnosis and prognosis
  9. 5509
    “…Prediction of IMF content (IMFpred) was then validated using IMFqa as ground truth. Determination coefficient between IMFqa and IMFpred was R(2) = 0.76, while the ROC analysis showing a sensitivity of 88% and a specificity of 90%. …”
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    Application of Ultrasound Images Texture Analysis for the Estimation of Intramuscular Fat Content in the Longissimus Thoracis Muscle of Beef Cattle after Slaughter: A Methodological Study
  10. 5510
    “…Follow-up to determine clinical truth was carried out. RESULTS: Of the 13,607 cases, 13,509 received a NIPT call resulting in a low study failure rate of 0.72%. …”
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    Analysis of cell-free DNA in a consecutive series of 13,607 routine cases for the detection of fetal chromosomal aneuploidies in a single center in Germany
  11. 5511
    “…Although deep learning-based algorithms can achieve accurate training and strong generalization capabilities, it requires a large amount of ground truth data which is often the limitation step. RESULTS: We showed a novel synthetic image generation and augmentation method based on domain randomization. …”
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    High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning
  12. 5512
    “…The tool's ability to detect and quantify ICH, LVO, and their various subtypes was assessed among multiple CT vendors and hospitals across the United States. Ground truth was based off imaging interpretations from two board-certified neuroradiologists. …”
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    Validation of a Deep Learning Tool in the Detection of Intracranial Hemorrhage and Large Vessel Occlusion
  13. 5513
    “…RESULTS: Automated segmentations showed high agreement (DSC 0.89–0.92) and high correlations (r ≥ 0.92) with manual ground truth for both corFLASH and sagDESS and only small systematic offsets (≤ 10.1%). …”
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    Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort
  14. 5514
    “…The Maximum Likelihood algorithm-based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. …”
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    Assessing the tropical forest cover change in northern parts of Sonitpur and Udalguri District of Assam, India
  15. 5515
    “…The best corrected visual acuity (BCVA) at 4 weeks after surgery was set as the ground truth. Five different deep learning algorithms, namely ResNet-18, ResNet-34, ResNet-50, ResNet-101, and Inception-v3, were used to develop the model aiming at predicting the postoperative BCVA, and an ensemble learning was further developed. …”
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    An Optical Coherence Tomography-Based Deep Learning Algorithm for Visual Acuity Prediction of Highly Myopic Eyes After Cataract Surgery
  16. 5516
    “…ETHICS AND DISSEMINATION: Study activities were developed to adhere to the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans, recommended COVID-19 research practices, and guided by the Truth and Reconciliation Commission’s Calls to Action for public health, data governance and research ethics related to Indigenous people. …”
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    Evaluation of risk mitigation measures for people with substance use disorders to address the dual public health crises of COVID-19 and overdose in British Columbia: a mixed-method study protocol
  17. 5517
    “…The traits leaf dry matter yield (LDMY) and total dry matter yield (TDMY) were obtained by conventional agronomic methodology and considered as the ground-truth data. Different CNN architectures were analyzed, such as AlexNet, ResNeXt50, DarkNet53, and two networks proposed recently for related tasks named MaCNN and LF-CNN. …”
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    Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing
  18. 5518
    “…The second approach, recurrent neural network end-to-end learning, requires less extraction of features and representations from the video but instead depends on large volumes of video data with ground truth. Our preliminary results suggest clearly that dynamics are important for pain recognition and show that combinations of recurrent neural networks can classify experimental pain in a small number of horses better than human raters.…”
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    Towards Machine Recognition of Facial Expressions of Pain in Horses
  19. 5519
    “…In 10 patients, we generated a set of approximately 300 simulated segmentation variations for each ground truth image. Each segmentation was visually scored based on a predefined scoring system and segmentations were ranked based on 22 performance measures common in the literature. …”
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    An evaluation of performance measures for arterial brain vessel segmentation
  20. 5520
    “…This is partially due to the inability to validate against some ground truth, as the true DAG is not available. This is especially problematic if a learned DAG conflicts with pre-existing domain doctrine. …”
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    Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks
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