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Mostrando 141 - 160 Resultados de 1,125 Para Buscar 'Deep house', tiempo de consulta: 0.18s Limitar resultados
  1. 141
    “…The model developed is benchmarked with selected state-of-art classification models of relevance for the “house classification” endeavor. The test results obtained in this comprehensive benchmarking clearly demonstrate and validate the effectiveness and the superiority of our here developed deep-learning model. …”
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    A Visual Sensing Concept for Robustly Classifying House Types through a Convolutional Neural Network Architecture Involving a Multi-Channel Features Extraction
  2. 142
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    Deep learning with transfer learning in pathology. Case study: classification of basal cell carcinoma
  3. 143
    “…Introduction: Stroke is the leading cause of neurological disability in the world. In Pakistan, house officers (HOs) are usually the first contact for a stroke patient in the emergency department. …”
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    Knowledge Regarding Basic Facts of Stroke Among Final Year MBBS Students and House Officers: A Cross-Sectional Survey of 708 Respondents from Pakistan
  4. 144
    “…CONCLUSIONS: Temporalis CSA is a prognostic marker in patients with glioblastoma, rapidly and accurately assessable with deep learning. We are the first to show that a head/neck muscle-derived sarcopenia metric generated using deep learning is associated with oncological outcomes and one of the first to show deep learning-based muscle quantification has prognostic value in cancer.…”
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    Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma
  5. 145
    por Kender, Sev, Yu, Jimin, Peck, Victoria L.
    Publicado 2014
    “…Characterised by long term cooling and abrupt ice sheet expansion on Antarctica ~14 Ma ago, the mid Miocene marked the beginning of the modern ice-house world, yet there is still little consensus on its causes, in part because carbon cycle dynamics are not well constrained. …”
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    Deep ocean carbonate ion increase during mid Miocene CO(2) decline
  6. 146
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    Dear-DIA(XMBD): Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics
  7. 147
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    Centimeter-Deep NIR-II Fluorescence Imaging with Nontoxic AIE Probes in Nonhuman Primates
  8. 148
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    Cranio-caudal puncture with computed tomography-guided drainage of a deep pelvic abscess
  9. 149
    por Qi, Ren, Zou, Quan
    Publicado 2023
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    Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level
  10. 150
    “…Somatic mutations can disrupt splicing regulatory elements and have dramatic effects on cancer genes, yet the functional consequences of mutations located in extended splice regions is difficult to predict. Here, we use a deep neural network (SpliceAI) to characterize the landscape of splice-altering mutations in cancer. …”
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    Discovering cryptic splice mutations in cancers via a deep neural network framework
  11. 151
    por Wang, Andong, Das, Amlan, Grojo, David
    Publicado 2020
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    Ultrafast Laser Writing Deep inside Silicon with THz-Repetition-Rate Trains of Pulses
  12. 152
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    Improved breast lesion detection in mammogram images using a deep neural network
  13. 153
    “…The platform employed an in-house fabricated, reverse-phase long column (100 μm × 150 cm, 5 μm C18 beads) coupled to Q Exactive MS. …”
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    Systematic Optimization of Long Gradient Chromatography Mass Spectrometry for Deep Analysis of Brain Proteome
  14. 154
    “…RESULTS: Here, we report exon arrays analysis of leukocyte mRNA AS events prior to and following Deep Brain Stimulation (DBS) neurosurgery, which efficiently improves the motor symptoms of Parkinson’s disease (PD), the leading movement disorder, and is increasingly applied to treat other diseases. …”
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    Deep brain stimulation modulates nonsense-mediated RNA decay in Parkinson’s patients leukocytes
  15. 155
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    Deep learning-based automatic detection of tuberculosis disease in chest X-ray images
  16. 156
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    Differentiation of carcinosarcoma from endometrial carcinoma on magnetic resonance imaging using deep learning
  17. 157
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    Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging
  18. 158
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    Predictor of respiratory disturbances during gastric endoscopic submucosal dissection under deep sedation
  19. 159
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    The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs
  20. 160
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    Identifying mental health status using deep neural network trained by visual metrics
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