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Mostrando 261 - 280 Resultados de 1,125 Para Buscar 'deep house', tiempo de consulta: 0.77s Limitar resultados
  1. 261
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    Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study
  2. 262
    “…ITV(predict) was automatically generated by our in-house deep learning model according to the cone-beam CT (CBCT) image database. …”
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    Dosimetric Study of Deep Learning-Guided ITV Prediction in Cone-beam CT for Lung Stereotactic Body Radiotherapy
  3. 263
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    Deep brain stimulation for obsessive-compulsive disorder: A systematic review of worldwide experience after 20 years
  4. 264
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    Prevalence of Acute Pediatric Burns in a Tertiary Care Hospital
  5. 265
    “…Objective: Cancer mortality in the U.S. Deep South exceeds national levels. A cross-sectional survey was undertaken across Alabama to discern cancer beliefs and screening practices, and compare data from racial/ethnic minority versus majority and rural versus urban respondents. …”
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    Differences Related to Cancer Screening by Minority and Rural/Urban Status in the Deep South: Population-based Survey Results
  6. 266
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    A Microfluidic Device for Automated High Throughput Detection of Ice Nucleation of Snomax(®)
  7. 267
    “…INTRODUCTION: The development of deep learning (DL) models for auto-segmentation is increasing and more models become commercially available. …”
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    Comparison of the output of a deep learning segmentation model for locoregional breast cancer radiotherapy trained on 2 different datasets
  8. 268
    “…The usefulness of ultra-deep pyrosequencing (UDPS) for the diagnosis of HIV-1 drug resistance (DR) remains to be determined. …”
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    Characterization of the Drug Resistance Profiles of Patients Infected with CRF07_BC Using Phenotypic Assay and Ultra-Deep Pyrosequencing
  9. 269
    “…Due to lack of studies on auto-segmentation methods in head and neck cancers, our study proposed a deep learning-based two-step approach for auto-segmentation of organs at risk in parotid carcinoma brachytherapy. …”
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    Deep learning-based two-step organs at risk auto-segmentation model for brachytherapy planning in parotid gland carcinoma
  10. 270
    “…To address these problems, several studies have leveraged a deep convolutional neural network that does not require hand-crafted features. …”
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    Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network
  11. 271
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    Lamellar Keratoplasty Using Microkeratome-Assisted Anterior Lamellar Graft in the Management of Deep Limbal Dermoid: A Case Report
  12. 272
    por Zhang, Li, Guan, Wei-Kang
    Publicado 2021
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    Deep vein thrombosis in patient with left-sided inferior vena cava draining into the hemiazygos vein: A case report
  13. 273
    “…Application to our carefully curated in-house dataset allows us to predict HRD with high accuracy (area under the receiver-operator characteristics curve 0.86) and to identify morphological phenotypes related to HRD. …”
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    Deep learning identifies morphological patterns of homologous recombination deficiency in luminal breast cancers from whole slide images
  14. 274
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    A Survey of Virus Recombination Uncovers Canonical Features of Artificial Chimeras Generated During Deep Sequencing Library Preparation
  15. 275
    “…Imaging data showed that after pulmonary administration to mice the powders were deposited in the trachea/central airways when a commercially available insufflator was used while deep lung deposition was achieved when an in-house built aerosol generator was used. …”
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    Pulmonary immunization: deposition site is of minor relevance for influenza vaccination but deep lung deposition is crucial for hepatitis B vaccination
  16. 276
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    Successful treatment in one myelodysplastic syndrome patient with primary thrombocytopenia and secondary deep vein thrombosis: A case report
  17. 277
    “…Miss detection or false classification of hazardous objects poses an operational safety issue for mobile robots. This work presents a deep-learning-based context-aware multi-level information fusion framework for autonomous mobile cleaning robots to detect and avoid hazardous objects with a higher confidence level, even if the object is under occlusion. …”
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    Deep-Learning-Based Context-Aware Multi-Level Information Fusion Systems for Indoor Mobile Robots Safe Navigation
  18. 278
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    Automatic reconstruction of interstitial needles using CT images in post-operative cervical cancer brachytherapy based on deep learning
  19. 279
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    Brain activity monitoring by compressed spectral array during deep hypothermic circulatory arrest in acute aortic dissection surgery
  20. 280
    “…Marine subsurface environments such as deep-sea sediments, house abundant and diverse microbial communities that are believed to influence large-scale geochemical processes. …”
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    Metagenomic analysis and metabolite profiling of deep–sea sediments from the Gulf of Mexico following the Deepwater Horizon oil spill
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