Results 41 to 50 of about 1,987,659 (307)
SRHiC: A Deep Learning Model to Enhance the Resolution of Hi-C Data
Frontiers in Genetics, 2020 Hi-C data is important for studying chromatin three-dimensional structure. However, the resolution of most existing Hi-C data is generally coarse due to sequencing cost.
Zhilan Li, Zhiming Dai, Zhiming Dai
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Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
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IET Systems BiologyWith the development of high‐throughput sequencing technology, the analysis of single‐cell RNA sequencing data has become the focus of current research.
Gong Lejun +4 more
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PolSAR Image Classification Based on Multi-Modal Contrastive Fully Convolutional Network
Remote SensingDeep neural networks have achieved remarkable results in the field of polarimetric synthetic aperture radar (PolSAR) image classification. However, PolSAR is affected by speckle imaging, resulting in PolSAR images usually containing a large amount of ...
Wenqiang Hua +3 more
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IEEE Access, 2020 In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user ...
Li Yang +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein +3 more
wiley +1 more source
Attention inverted feature perturbation for semi-supervised medical image segmentation
Discover ComputingAccurate medical image segmentation is essential for reliable diagnosis, surgical planning, and disease monitoring. Semi-supervised medical image segmentation offers great potential by exploiting abundant unlabeled data with limited annotations, but it ...
Yuling Yang +4 more
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Detection of Tampering by Image Resizing Using Local Tchebichef Moments
Applied Sciences, 2019 There are many image resizing techniques, which include scaling, scale-and-stretch, seam carving, and so on. They have their own advantages and are suitable for different application scenarios.
Dengyong Zhang +5 more
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A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)
Scientific Reports, 2023 A COVID-19, caused by SARS-CoV-2, has been declared a global pandemic by WHO. It first appeared in China at the end of 2019 and quickly spread throughout the world. During the third layer, it became more critical.
Sajid Ullah Khan +5 more
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Minimal Delay Violation-Based Cross-Layer Scheduler and Resource Allocation for DSL Networks
IEEE Access, 2021 The quality of service of many modern communication systems depends on the delay performance of the underlying network. In digital subscriber line (DSL) networks, for example, crosstalk introduces competition for data rate among users, which influences ...
Jeremy Van den Eynde +3 more
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