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Advanced Search Results For "R858-859.7"

1 - 10 of 53,447 results for
 "R858-859.7"
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Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods

Publication Type:Academic Journal

Source(s):BMC Bioinformatics, Vol 23, Iss 1, Pp 1-9 (2022)

Abstract:Abstract Background We used a hybrid machine learning systems (HMLS) strategy that includes the extensive search for the discovery of the most optimal HMLSs, including feature selection algorithms, a feature extraction algorithm, and classifiers for di...

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SVAT: Secure outsourcing of variant annotation and genotype aggregation

Publication Type:Academic Journal

Source(s):BMC Bioinformatics, Vol 23, Iss 1, Pp 1-39 (2022)

Abstract:Abstract Background Sequencing of thousands of samples provides genetic variants with allele frequencies spanning a very large spectrum and gives invaluable insight into genetic determinants of diseases. Protecting the genetic privacy of participants i...

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EZCancerTarget: an open-access drug repurposing and data-collection tool to enhance target validation and optimize international research efforts against highly progressive cancers

Publication Type:Academic Journal

Source(s):BioData Mining, Vol 15, Iss 1, Pp 1-13 (2022)

Abstract:Abstract The expanding body of potential therapeutic targets requires easily accessible, structured, and transparent real-time interpretation of molecular data. Open-access genomic, proteomic and drug-repurposing databases transformed the landscape of ...

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Recent developments of the reconstruction in magnetic particle imaging

Publication Type:Academic Journal

Source(s):Visual Computing for Industry, Biomedicine, and Art, Vol 5, Iss 1, Pp 1-13 (2022)

Abstract:Abstract Magnetic particle imaging (MPI) is an emerging molecular imaging technique with high sensitivity and temporal-spatial resolution. Image reconstruction is an important research topic in MPI, which converts an induced voltage signal into the ima...

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Hellenic registry of patients with home mechanical ventilation (HR-HMV): profiling sleep Apnea–Hypopnea syndrome patients across Greece

Publication Type:Academic Journal

Source(s):BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-13 (2022)

Abstract:Abstract Background Chronic respiratory conditions are a prominent public health issue and thus, building a patient registry might facilitate both policy decision making and improvement of clinical management processes. Hellenic Registry of patients wi...

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Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 644-654 (2022)

Abstract:Abstract Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, wh...

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DEMVSNet: Denoising and depth inference for unstructured multi‐view stereo on noised images

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 570-580 (2022)

Abstract:Abstract Most deep‐learning‐based multi‐view stereo series studies are concerned with improving the depth prediction accuracy of noise‐free images. However, it is difficult to obtain off‐the‐set clean images in practice and 3D convolutional neural netw...

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EAGAN: Event‐based attention generative adversarial networks for optical flow and depth estimation

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 581-595 (2022)

Abstract:Abstract Event camera is a new vision sensor that produces independent asynchronous responses to each pixel's change of illumination intensity. The unique principle of event camera has many advantages over traditional cameras, such as low latency, high...

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Auto calibration of multi‐camera system for human pose estimation

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 607-618 (2022)

Abstract:Abstract The multi‐camera calibration is an essential step for many spatially aware applications, such as robotic navigation, augmented reality, and 3D human pose estimation. Traditional calibration methods use off‐the‐shelf checkerboards or triangles ...

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PCCN‐RE: Point cloud colourisation network based on relevance embedding

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 632-643 (2022)

Abstract:Abstract The colour of the point cloud provides abundant information for perception tasks such as autonomous driving and virtual reality. However, few prior work studied the automatic colourisation of colourless point clouds. In this paper, the authors...

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