Mostrando 261 - 280 Resultados de 1,125 Para Buscar 'Deep house', tiempo de consulta: 0.56s Limitar resultados
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    “…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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    “…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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    “…INTRODUCTION: The development of deep learning (DL) models for auto-segmentation is increasing and more models become commercially available. …”
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    “…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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    “…To address these problems, several studies have leveraged a deep convolutional neural network that does not require hand-crafted features. …”
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    “…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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    “…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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    “…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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