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Mostrando 161 - 180 Resultados de 1,125 Para Buscar 'deep house', tiempo de consulta: 0.22s Limitar resultados
  1. 161
    “…This study aimed to evaluate a deep learning algorithm for caries detection through the segmentation of the tooth surface using these images. …”
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    Caries detection with tooth surface segmentation on intraoral photographic images using deep learning
  2. 162
    “…We assess HostNet's performance on a benchmark dataset of “Rabies lyssavirus” and an in-house dataset of “Flavivirus”. Our results show that HostNet surpasses the state-of-the-art deep learning-based method in host-prediction accuracies and F1 score. …”
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    HostNet: improved sequence representation in deep neural networks for virus-host prediction
  3. 163
    “…DESIGN, SETTING, AND PARTICIPANTS: This diagnostic study used data from participants in the NLST ro assess the performance of a deep learning–based artificial intelligence (AI) algorithm for the detection of pulmonary nodules and lung cancer on chest radiographs using separate training (in-house) and validation (NLST) data sets. …”
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    Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs
  4. 164
    “…Furthermore, the empirical results can provide positive implications for establishing equitable housing policies and livable neighborhoods.…”
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    The Premium of Public Perceived Greenery: A Framework Using Multiscale GWR and Deep Learning
  5. 165
    “…This study aims to generate a deep learning algorithm-based model for quantitative prediction of financial losses due to accidents occurring at apartment construction sites. …”
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    Predicting financial losses due to apartment construction accidents utilizing deep learning techniques
  6. 166
    “…All rats with an induced TBI were housed for 4 weeks to allow severe bladder dysfunction to develop. …”
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    Efficacy of Deep Brain Stimulation on the Improvement of the Bladder Functions in Traumatic Brain Injured Rats
  7. 167
    “…The vibration data resulting from the measurements were used to feed two different deep-learning architectures, to make it possible to achieve an acceptable correlation between the measured vibration data and the actual amount of wear. …”
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    Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings
  8. 168
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    Past, present, and future of deep transcranial magnetic stimulation: A review in psychiatric and neurological disorders
  9. 169
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    Pulmonary embolism and deep vein thrombosis caused by nitrous oxide abuse: A case report
  10. 170
    “…Tools such as CHEMBL web resource, iFeature, and an in-house developed deep neural network-assisted drug recommendation (dNNDR)-featx were employed for data retrieval and processing. …”
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    Deep Neural Network-Assisted Drug Recommendation Systems for Identifying Potential Drug–Target Interactions
  11. 171
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    Laterality of deep white matter hyperintensities correlates with basilar artery bending and vertebral artery dominance
  12. 172
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    Segmentation of orbital and periorbital lesions detected in orbital magnetic resonance imaging by deep learning method
  13. 173
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    Using a deep learning approach for implanted seed detection on fluoroscopy images in prostate brachytherapy
  14. 174
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    Clinical characteristics and location of lesions in patients with deep infiltrating endometriosis using the revised Enzian classification
  15. 175
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    Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models
  16. 176
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    Deep learning-assisted diagnosis of femoral trochlear dysplasia based on magnetic resonance imaging measurements
  17. 177
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    More than skin deep? Potential nicotinamide treatment applications in chronic kidney transplant recipients
  18. 178
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    Discovering Selected Antibodies From Deep-Sequenced Phage-Display Antibody Library Using ATTILA
  19. 179
    “…Volume of interest segmentation is an essential step in computer-aided detection and diagnosis (CAD) systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about the reproducibility of these methods. …”
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    The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images
  20. 180
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    Assessment of Transcatheter or Surgical Closure of Atrial Septal Defect using Interpretable Deep Keypoint Stadiometry
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