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Mostrando 221 - 240 Resultados de 1,125 Para Buscar 'Deep house', tiempo de consulta: 0.65s Limitar resultados
  1. 221
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    Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning
  2. 222
    por Azer, Samy A
    Publicado 2019
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    Deep learning with convolutional neural networks for identification of liver masses and hepatocellular carcinoma: A systematic review
  3. 223
    “…Deep learning-based radiomics has the potential to offer complimentary predictive information in the personalized management of lung cancer patients.…”
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    [Formula: see text] : deep learning-based radiomics for the time-to-event outcome prediction in lung cancer
  4. 224
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    Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning
  5. 225
    “…We assessed the effect of smoking status and within-1-year smoking cessation on CM by an in-house adapted freely available language processing algorithm. …”
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    Impact of deep learning-determined smoking status on mortality of cancer patients: never too late to quit
  6. 226
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    Accurate and generalizable quantitative scoring of liver steatosis from ultrasound images via scalable deep learning
  7. 227
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    Automated patellar height assessment on high-resolution radiographs with a novel deep learning-based approach
  8. 228
    “…We therefore developed and validated a radiation-free portable system and device utilising light-based depth sensing and deep learning technologies to analyse AIS by landmark detection and image synthesis. …”
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    Radiograph-comparable image synthesis for spine alignment analysis using deep learning with prospective clinical validation
  9. 229
    “…The effective decoding of movement from non-invasive electroencephalography (EEG) is essential for informing several therapeutic interventions, from neurorehabilitation robots to neural prosthetics. Deep neural networks are most suitable for decoding real-time data but their use in EEG is hindered by the gross classes of motor tasks in the currently available datasets, which are solvable even with network architectures that do not require specialized design considerations. …”
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    A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity
  10. 230
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    Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
  11. 231
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    Automated deep learning-based segmentation of COVID-19 lesions from chest computed tomography images
  12. 232
    “…The siboglinid tubeworm Sclerolinum contortum symbiosis inhabits sulfidic sediments at deep-sea hydrocarbon seeps in the Gulf of Mexico. …”
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    Symbiont-driven sulfur crystal formation in a thiotrophic symbiosis from deep-sea hydrocarbon seeps
  13. 233
    por Alahmadi, Adnan A. S.
    Publicado 2023
    “…Although it occupies a small portion of the brain, it houses nearly half of the neurons in the nervous system. …”
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    The Cerebellum’s Orchestra: Understanding the Functional Connectivity of Its Lobes and Deep Nuclei in Coordination and Integration of Brain Networks
  14. 234
    “…This paper illustrates the potential of deep-narrative analysis in energy policy research using text analysis tools from the cutting-edge domain of computational social sciences, notably topic modelling. …”
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    Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research
  15. 235
    “…METHODS: The adolescence or adult mice were individually housed in cages for 1, 6 or 12 months and for 2 months to estabolish SI mouse model. …”
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    Analysis of the influences of social isolation on cognition and the therapeutic potential of deep brain stimulation in a mouse model
  16. 236
    “…BACKGROUND: Pressure ulcers (PUs) are a major clinical problem that constitutes a tremendous economic burden on healthcare systems. Deep tissue injury (DTI) is a unique serious type of pressure ulcer that arises in skeletal muscle tissue. …”
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    Myoprotective effects of bFGF on skeletal muscle injury in pressure-related deep tissue injury in rats
  17. 237
    “…BACKGROUND: Numerous deep-sea invertebrates, at both hydrothermal vents and methane seeps, have formed symbiotic associations with internal chemosynthetic bacteria in order to harness inorganic energy sources typically unavailable to animals. …”
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    Mixotrophic chemosynthesis in a deep-sea anemone from hydrothermal vents in the Pescadero Basin, Gulf of California
  18. 238
    “…The aim of this study was to develop a deep learning-based algorithm for fully automated spleen segmentation using CT images and to evaluate the performance in conditions directly or indirectly affecting the spleen (e.g., splenomegaly, ascites). …”
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    Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen
  19. 239
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    Automated Gleason grading of prostate cancer using transfer learning from general-purpose deep-learning networks
  20. 240
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    Towards fully automated inner ear analysis with deep-learning-based joint segmentation and landmark detection framework
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