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  1. 59321
    “…A two-tier system, i.e., low, and high grade, was used to categorize 34 epithelioid DMPMs. Architectural patterns, cytological features and stromal changes were also reported. …”
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    Online Artículo Texto
    Evaluation of prognostic histological parameters proposed for pleural mesothelioma in diffuse malignant peritoneal mesothelioma. A short report
  2. 59322
    “…The lesion-based differentiating performance of the proposed network was evaluated by fivefold cross validation, and compared with the other three popular CNN architectures for medical imaging. The average sensitivity, specificity, accuracy and the area under receiver operating characteristic curve (AUC) were calculated. …”
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    Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network
  3. 59323
    “…The explained variance genetic risk score (EV-GRS) had better power and could represent the effect of genetic architectures. Our aim was to add EV-GRS into environmental factors to establish ANN to predict the efficacy of folic acid therapy to HHcy. …”
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    Online Artículo Texto
    Combining genetic risk score with artificial neural network to predict the efficacy of folic acid therapy to hyperhomocysteinemia
  4. 59324
    “…In addition, the vision control software is described with special emphasis on the different convolutional neural network (CNN) architectures that have been considered (ResNet18, ResNet50, Vgg19 and DenseNet161, non-pre-trained and pre-trained on ImageNet) and on the specifically designed dataset. …”
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    Online Artículo Texto
    Deep learning for the quality control of thermoforming food packages
  5. 59325
    “…CONCLUSIONS AND IMPLICATIONS: Architectural design attributes have significant impacts on COVID-19 transmissions in NHs. …”
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    Online Artículo Texto
    Nursing Home Design and COVID-19: Implications for Guidelines and Regulation
  6. 59326
    “…Background: Shared psychopathological features and mechanisms have been observed between schizophrenia (SZ) and bipolar disorder (BD), but their common risk genes and full genetic architectures remain to be fully characterized. The genome-wide association study (GWAS) datasets offer the opportunity to explore this scientific question using combined genetic data from enormous samples, ultimately allowing a better understanding of the onset and development of these illnesses. …”
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    Online Artículo Texto
    Identification of a Risk Locus at 7p22.3 for Schizophrenia and Bipolar Disorder in East Asian Populations
  7. 59327
    “…Here, we trained the 2D and 3D U-Net architectures of no-new-Net (nnU-Net) for autocontouring of the thorax in mouse micro-CT images. …”
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    Online Artículo Texto
    Deep learning-based segmentation of the thorax in mouse micro-CT scans
  8. 59328
    “…Species studied were maize (Zea mays, L.), soybean (Glycine max, L.), and rice (Oryza sativa, L.), which vary in linkage disequilibrium (LD) decay rates and have contrasting genetic architectures. RESULTS: Correlations between observed and predicted GEBVs were determined via cross validation for three training-to-testing proportions (90:10, 70:30, and 50:50). …”
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    Online Artículo Texto
    Genomic prediction models for traits differing in heritability for soybean, rice, and maize
  9. 59329
    por Liu, Yang, Lim, Hansaim, Xie, Lei
    Publicado 2022
    “…Furthermore, we developed a model agnostic self-training method, PLANS, that can be applied to any deep learning architectures to improve prediction accuracies. PLANS provided a way to better utilize partially labeled and unlabeled data. …”
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    Online Artículo Texto
    Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding
  10. 59330
    “…Moreover, as most salivary gland carcinomas (SGC) display distinct stromal architectures, we also analysed 110 SGC. The corresponding protein formation of COL11A1 was determined by MALDI-TOF–MS-Imaging. …”
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    Mutually Exclusive Expression of COL11A1 by CAFs and Tumour Cells in a Large panCancer and a Salivary Gland Carcinoma Cohort
  11. 59331
    por Salama, Wessam M., Aly, Moustafa H.
    Publicado 2022
    “…Also, VGG16 and ReNet50 combined with U-Net, which is one of the most used architectures in deep learning for image segmentation, are employed to segment CT lung images before the classifying process to increase system performance. …”
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    Framework for COVID-19 segmentation and classification based on deep learning of computed tomography lung images
  12. 59332
    “…This paper describes the protocol that will be followed to develop the HAMstring InjuRy (HAMIR) index risk prediction models for HSI and re-injury based on morphological, architectural, biomechanical and clinical factors in National Collegiate Athletic Association Division I collegiate football players. …”
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    The development of a HAMstring InjuRy (HAMIR) index to mitigate injury risk through innovative imaging, biomechanics, and data analytics: protocol for an observational cohort study
  13. 59333
    “…We employed two convolutional neural network architectures (ResNet and DenseNet) to detect the presence of artifacts on DCE MIPs of the left and right breasts. …”
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    Online Artículo Texto
    Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast
  14. 59334
    “…Eight DLC neural network architectures (ResNet50, ResNet101, ResNet152, MobileNetV1, MobileNetV2, EfficientNetB0, EfficientNetB3, EfficientNetB6) were applied to the laptop video and extracted movement features were compared to the ground truth Optotrak motion tracking. …”
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    Moving towards intelligent telemedicine: Computer vision measurement of human movement
  15. 59335
    “…To evaluate the effectiveness of the deep neural network model used by the proposed approach, we compare it to different state-of-the-art network architectures; AlexNet and a shallow VGG network trained only on the labelled data. …”
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    An interpretable semi-supervised framework for patch-based classification of breast cancer
  16. 59336
    “…Both today and in the past, neighborhoods form a fundamental part of cities and are defined by their spatial, architectural, and material elements. Neighborhoods existed in ancient centers of various scales, and multiple methods have been employed to identify ancient neighborhoods in archaeological contexts. …”
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    Ancient Lowland Maya neighborhoods: Average Nearest Neighbor analysis and kernel density models, environments, and urban scale
  17. 59337
    “…We discuss technical and clinical limitations of this approach, avenues for future investigations, and how personalised machine learning architectures may be implemented to improve existing digital interventions for depression.…”
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    Personalised depression forecasting using mobile sensor data and ecological momentary assessment
  18. 59338
    “…Both image and time-series datasets were parsed for the training process by the CNN models. The computer architectures were optimized to select the best model for the training process. …”
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    An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm
  19. 59339
    “…A single-channel convolutional neural network (CNN) and a multi-channel CNN based on ResNeSt architectures were proposed for predicting normal-sized LNM from single or multi modalities of MR images, respectively. …”
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    RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study
  20. 59340
    “…Also, presence of consolidation (P value 0.040), pleural effusion (P value 0.000), centrilobular nodules (P value 0.013), and architectural distortion (P value 0.005) were associated with a poorer prognosis. …”
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    Online Artículo Texto
    Role of chest CT scan in patients with preexisting cancer and COVID-19 pneumonia
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