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Advanced Search Results For "Computer applications to medicine. Medical informatics"

1 - 10 of 53,290 results for
 "Computer applications to medicine. Medical informatics"
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The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

Publication Type:Academic Journal

Source(s):BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-17 (2022)

Abstract:Abstract Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity, and progression over time vary enormously among individuals. Ideally, each person living with MS should be provided with an accurate prognosis at the time...

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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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Efficient 6D object pose estimation based on attentive multi‐scale contextual information

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 596-606 (2022)

Abstract:Abstract 6D pose estimation has been pervasively applied to various robotic applications, such as service robots, collaborative robots, and unmanned warehouses. However, accurate 6D pose estimation is still a challenge problem due to the complexity of ...

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Point cloud completion by dynamic transformer with adaptive neighbourhood feature fusion

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 619-631 (2022)

Abstract:Abstract Point cloud completion aims to reconstruct detailed structures from partial observations. However, previous methods often suffered from inaccurate neighbourhood feature extraction and rough reconstruction of complex structures, which is diffic...

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Scale robust point matching‐Net: End‐to‐end scale point matching using Lie group

Publication Type:Academic Journal

Source(s):IET Computer Vision, Vol 16, Iss 7, Pp 655-666 (2022)

Abstract:Abstract Point cloud matching is an important procedure in a variety of computer vision tasks. Traditional point cloud matching methods have made great progress, while neural network‐based approaches are becoming a trend, powered by their strong capabi...

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Implementing Exercise = Medicine in routine clinical care; needs for an online tool and key decisions for implementation of Exercise = Medicine within two Dutch academic hospitals

Publication Type:Academic Journal

Source(s):BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-15 (2022)

Abstract:Abstract Background There is much evidence to implement physical activity interventions for medical reasons in healthcare settings. However, the prescription of physical activity as a treatment, referring to as ‘Exercise is Medicine’ (E = M) is current...

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