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  1. 2001
    “…Random translation (maximum 15 mm) and rotation (maximum 2.86°) were applied and ground-truth was compared to parameters determined by alignment correction. …”
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    Online Artículo Texto
    Experimental application of an automated alignment correction algorithm for geological CT imaging: phantom study and application to sediment cores from cold-water coral mounds
  2. 2002
    “…The image features were compared to ground-truth data including AGBM, lodging, leaf type, days to 50% flowering, days to physiological maturity, number of the first reproductive node, and seed yield. …”
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    Phenotyping of Plant Biomass and Performance Traits Using Remote Sensing Techniques in Pea (Pisum sativum, L.)
  3. 2003
    “…Unfortunately, none of the publicly available retinal fundus image datasets provides any bounding box ground truth required for disc localization. Therefore, in addition to the proposed solution, we also developed a rule-based semi-automatic ground truth generation method that provides necessary annotations for training RCNN based model for automated disc localization. …”
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    Online Artículo Texto
    Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
  4. 2004
    por Gu, Xuan, Eklund, Anders
    Publicado 2019
    “…We evaluated the ability for methods to correct distortions by comparing the corrected data with the ground truth. Four diffusion tensor metrics (FA, MD, eigenvalues and eigenvectors) were calculated from the corrected data and compared with the ground truth. …”
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    Online Artículo Texto
    Evaluation of Six Phase Encoding Based Susceptibility Distortion Correction Methods for Diffusion MRI
  5. 2005
    “…Missing values were introduced in the original data from 10 to 90% in steps of 10% because method validation requires ground truth. Quantitative results on normalized mean square error (NMSE) between the ground truth and imputed data were computed. …”
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    Online Artículo Texto
    Imputation of Gene Expression Data in Blood Cancer and Its Significance in Inferring Biological Pathways
  6. 2006
    “…Only weak and moderate correlations were found between segmentation accuracy as measured by the Dice coefficient and percent feature error from ground truth for the vast majority of the features being examined. …”
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    Impact of contouring variability on oncological PET radiomics features in the lung
  7. 2007
    “…An egg-shaped phantom was used as ground truth to compare distortions for both 3D modes along with the measurements of the volume. …”
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    Evaluation of 3D ultrasound for image guidance
  8. 2008
    “…To evaluate the developed AI agent’s performance, the predicted mean standardized uptake values (SUVs) of gross tumor volume (GTV) and clinical target volume (CTV) were compared with the ground truth values. Overall SUV distribution accuracy was evaluated by gamma test passing rates under different criteria. …”
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    Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application
  9. 2009
    “…These comparisons are usually performed using real data, without a known ground-truth, thus limiting the assessments. In this context, we propose a synthetic data generator, G-Tric, allowing the creation of synthetic datasets with configurable properties and the possibility to plant triclusters. …”
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    Online Artículo Texto
    G-Tric: generating three-way synthetic datasets with triclustering solutions
  10. 2010
    “…We established a composite standard of truth for the imaging based on all clinical data available collected during the follow-up period with a median duration of follow-up of 17 months. …”
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    Restaging the Biochemical Recurrence of Prostate Cancer with [(68)Ga]Ga-PSMA-11 PET/CT: Diagnostic Performance and Impact on Patient Disease Management
  11. 2011
    “…When considering the similarity of clustering results on synthetic data to ground-truth clustering, we find that the [Formula: see text] variant resulted in high variability, most likely due to amplifying artifacts of small datasets. …”
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    Synthetic single cell RNA sequencing data from small pilot studies using deep generative models
  12. 2012
    “…A panel of expert pathologists reviewed the discrepant cases under multiheader microscope to establish ground truth. 2745 out of 3001 (91%) cases showed complete concordance between DP and GS reports. …”
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    Verification and Validation of Digital Pathology (Whole Slide Imaging) for Primary Histopathological Diagnosis: All Wales Experience
  13. 2013
    “…We constructed a ground truth dataset combining classifications made by three healthcare experts, which was used to validate our results. …”
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    Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing
  14. 2014
    “…MRIs were segmented to produce 3D left ventricle meshes, which were sampled at points along the short axis to extract anatomical masks, with scar labels from LGE as ground truth. The trained CNN was tested with an independent CTA dataset (25 patients, with ground truth established with paired LGE MRI). …”
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    Online Artículo Texto
    Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks
  15. 2015
    “…Comparatively, CIRCNV can be performed on individual tumor samples and has the following two new features: (1) it transfers the read depth profile from a line shape to a circular shape via a polar coordinate transformation, in order to improve the efficiency of the read depth (RD) profile for the detection of CNVs; and (2) it performs a second round of CNV declaration based on the truth circular RD profile, which is recovered by estimating tumor purity. …”
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    Online Artículo Texto
    CIRCNV: Detection of CNVs Based on a Circular Profile of Read Depth from Sequencing Data
  16. 2016
    “…Counts of SDs by software (dependent variable) were compared with ground truth by the investigator (independent) using linear regression. …”
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    Development and Evaluation of a Method for Automated Detection of Spreading Depolarizations in the Injured Human Brain
  17. 2017
    “…However, sensitivity was 0.66–0.90 taking RT-PCR/radiologist opinion as ground truth. This work provides new insights on the usage of EDS with DL methods and the ability of algorithms to confidently predict COVID-Pneumonia while reinforcing the established learning; that benchmarking based on RT-PCR may not serve as reliable ground truth in radiological diagnosis. …”
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    Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
  18. 2018
    “…The NAM-based FAZ dimensions were validated with the ground truth. RESULTS: The age distribution for all 93 subjects was 28.02 ± 10.79 (range, 10.0–66.0) years. …”
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    Online Artículo Texto
    FAZSeg: A New Software for Quantification of the Foveal Avascular Zone
  19. 2019
    “…Manually annotated ground-truth label maps, more or less, contain errors for part of the pixels. …”
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    Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation
  20. 2020
    “…Three radiologists created the ground-truth labels of the testing set with a majority voting. …”
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    Online Artículo Texto
    A joint convolutional-recurrent neural network with an attention mechanism for detecting intracranial hemorrhage on noncontrast head CT
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