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  1. 5221
    “…Clinical/radiological follow-up was used as ground truth. Sensitivity, specificity, negative/positive predictive value, and accuracy were calculated at the patient and the lesion level. …”
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    Online Artículo Texto
    To Enhance or Not to Enhance? The Role of Contrast Medium (18)F-FDG PET/CT in Recurrent Ovarian Carcinomas
  2. 5222
    “…Both 2D and 3D validation were performed, by comparing model estimations with the ground truth 2D cine‐MRI and 4DMRI respiratory phases, respectively. …”
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    An MRI framework for respiratory motion modelling validation
  3. 5223
    “…Examples for amyloid PET and for the generation of ground‐truth pathological patients are included. RESULTS: The platform can be efficiently used for generating realistic simulated FDG‐PET images in a reasonable amount of time. …”
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    Online Artículo Texto
    SimPET—An open online platform for the Monte Carlo simulation of realistic brain PET data. Validation for (18)F‐FDG scans
  4. 5224
    “…The different experiments are compared according to the Intersection over Union (IoU), a metric describing the similarity between what CNN predicts as TAM and the ground truth, and the Symmetric Best Dice (SBD), which indicates the ability of CNN to separate different TAMs. …”
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    Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis
  5. 5225
    “…The phantom without hip prosthesis was also scanned and used as a reference ground truth (GT). The CT images of three prostate and four sarcoma patients with unilateral hip prosthesis were also reconstructed by FBP and iMAR algorithm and compared. iMAR algorithm reduced the metal artifacts and the maximum WEPL deviation in phantom images from −19.1 to −0.4 mm. …”
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    Online Artículo Texto
    Dosimetric impact of using a commercial metal artifact reduction tool in carbon ion therapy in patients with hip prostheses
  6. 5226
    “…This last approach is implemented in the form of evidence functions: statistics for comparing two models by estimating, based on data, their relative distance to the generating process (i.e., truth) (Lele, 2004). A consequence of this definition is the salient property that the probabilities of misleading or weak evidence, error probabilities analogous to Type 1 and Type 2 errors in hypothesis testing, all approach 0 as sample size increases. …”
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    Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC
  7. 5227
    “…The five ROIs generated using the proposed approach were evaluated using dice similarity score (DSS), intersection over union (IoU), and accuracy (Acc) against the ground truth (GT), and the best region of interest is selected as a final ROI. …”
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    Online Artículo Texto
    Enhanced Region Growing for Brain Tumor MR Image Segmentation
  8. 5228
    “…Scientific findings are simplified and communicated in such a way that they acquire a status as unfalsifiable and absolutely true (truth to power). This becomes critical if the consistency and validation of the findings are questionable and scientific models underlying science activists’ actions are doubtful, oversimplified, or incorrect. …”
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    Online Artículo Texto
    Endangering the integrity of science by misusing unvalidated models and untested assumptions as facts: General considerations and the mineral and phosphorus scarcity fallacy
  9. 5229
    “…Pairing these data with fluorescence images for ground truth, we trained semantic segmentation models based on U-Net, a particular type of convolutional neural network. …”
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    Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity
  10. 5230
    “…Classification performances were evaluated against ground truth fetal genotypes obtained from conventional amniocentesis. …”
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    Droplet-based digital PCR for non-invasive prenatal genetic diagnosis of α and β-thalassemia
  11. 5231
    por Wang, Xin, Zheng, Jie
    Publicado 2021
    “…RESULTS: We formulate RNA velocity prediction as a supervised learning problem of classification for the first time, where a cell state space is divided into equal-sized segments by directions as classes, and the estimated RNA velocity vectors are considered as ground truth. We propose Velo-Predictor, an ensemble learning pipeline for predicting RNA velocities from scRNA-seq data. …”
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    Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction
  12. 5232
    “…METHODS: We retrospectively included 172 consecutive patients (93:79 = m:f) with GIT perforation, who underwent abdominal surgery (ground truth for perforation location). The volume of free air and ascites were quantified on CT images by 4 radiologists and a semiautomated software. …”
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    Correlation of gastrointestinal perforation location and amount of free air and ascites on CT imaging
  13. 5233
    “…Although the convolutional neural network has great potential to automate the segmentation task, most existing deep learning-based infection segmentation methods require fully annotated ground-truth labels for training, which is time-consuming and labor-intensive. …”
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    Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images
  14. 5234
    “…Based on the findings of this study, PSMA-PET lesion dose escalation can lead to increased dose to the ground truth histologically defined cancer.…”
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    Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation
  15. 5235
    “…OUTCOME MEASURES: The participants’ knowledge and attitudes of palliative care and their preferences of end-of-life care involving place of care, place of death, truth disclosure and treatments during end-of-life were measured. …”
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    Knowledge, attitudes and preferences of palliative and end-of-life care among patients with cancer in mainland China: a cross-sectional study
  16. 5236
    “…To validate our method, we identified retrospective cohorts of 20 brain, 50 breast, and 50 lung cancer patients, as well as 20 spleen scans, with corresponding ground truth annotations. Utilizing very brief user training annotations and the adaptive geodesic distance transform, an ensemble of SVMs is trained, providing a patient-specific model applied to the whole image. …”
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    Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs
  17. 5237
    “…The output of the operator was considered as the ground truth. The algorithm calculated also the COVID Index by combining the automatically identified LUS markers with the questionnaire answers and compared with the nasopharyngeal swab results. …”
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    A new standard scoring for interstitial pneumonia based on quantitative analysis of ultrasonographic data: A study on COVID-19 patients
  18. 5238
    “…Pose estimation derived joint centres demonstrated systematic differences at the hip and knee (~ 30–50 mm), most likely due to mislabeling of ground truth data in the training datasets. Where systematic differences were lower, e.g., the ankle, differences of 1–15 mm were observed depending on the activity. …”
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    The accuracy of several pose estimation methods for 3D joint centre localisation
  19. 5239
    “…The results were also validated by comparing image-derived perfusion parameters with ground truth measurements of glomerular filtration rate (GFR). …”
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    Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics
  20. 5240
    “…Similarly, the myopia age distribution is 26.22 ± 6.37 years. Ground truth images, ie, manually segmented by a clinical expert are provided along with other meta-data includes age, gender, laterality, refractive error classification, spherical equivalent (SE), best-corrected visual acuity (BCVA), intraocular pressure (IOP), and axial length (AXL). …”
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    ODTiD: Optic Nerve Head SD-OCT Image Dataset
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