Abstract: Blurring and noise artifacts in magnetic resonance (MR) images caused by off-resonant image components may be corrected with convolutional neural networks, particularly feed forward networks with skip connections. Demodulating complex blurred images with off-resonant artifacts at a selected number of frequencies forms a respective real component frame of the MR data and a respective imaginary component frame for each image. A convolutional neural network is used to de-blur the images. The network has a plurality of residual blocks with multiple convolution calculations paired with respective skip connections. The method outputs, from the convolutional neural network, a de-blurred real image frame and a de-blurred imaginary image frame of the MR data for each complex blurred image.

Abstract: A camera module having OIS function and its preparation method are provided. The camera module includes a housing and an optical assembly in the housing, and further includes a circuit board in the housing. The circuit board includes a first board and a second board on the first board. The first board is flexible. The first board includes a first portion, a second portion, and a third portion successively connected in an extending direction of the first board. The second portion defines a slot. The second board is on the third portion. The optical assembly is on the second board. The first portion includes a fixed end connecting the second portion and an opposite free end. The housing defines a through hole. The first portion extends through the slot to form a bent portion and extends out of the through hole, such that the free end is outside the housing.

Abstract: In one aspect the disclosed technology relates to embodiments of a method which, includes acquiring magnetic resonance imaging data, for a plurality of images, of the heart of a subject. The method also includes segmenting, using cascaded convolutional neural networks (CNN), respective portions of the images corresponding to respective epicardium layers and endocardium layers for a left ventricle (LV) and a right ventricle (RV) of the heart. The segmenting is used for extracting biomarker data from segmented portions of the images and, in one embodiment, assessing hypertrophic cardiomyopathy from the biomarker data. The method further includes segmenting processes for T1 MRI data and LGE MRI data.

Abstract: A method for event identification including receiving event information pertaining to events occurring with respect to a computing environment, each event having a measurement metric; evaluating by a probability function the measurement metric for each event to determine when the measurement metric is above a predetermined probability threshold or below a probability threshold wherein above a probability threshold or below a probability threshold is classified as alarm data; processing the alarm data through a decision tree to determine based on historical data when the alarm data is significant or when the alarm data is not significant and to reduce the number of alarm data to a predetermined number of significant alarm data; and displaying the predetermined number of significant alarm data to a user.

Abstract: A multidimensional security situation real-time presentation method according to an embodiment includes selecting security testing cases of at least one dimensionality based on a test instruction to generate a target test set, and generating a corresponding target log set according to the target test set, determining a difference log set according to the target log set and a monitoring log set, and performing real-time output display of difference log events, test processing time periods, enhanced training nodes and a test processing efficiency corresponding to the difference log set.

Abstract: In one aspect, the present invention discloses a composition of forsythia suspensa component and an optional panax ginseng component that can be used safely, efficiently and consistently to achieve antiviral, antipyretic, anti-inflammatory and/or immunity boosting effects, including forsythin, forsythin derivatives, and the composition of forsythin and phillygenin for the prevention and treatment of diseases associated with human cytomegalovirus infection, such as simple human cytomegalovirus infection or for patients infected by human cytomegalovirus during prevention and treatment of cardiovascular and cerebrovascular diseases, tumors, bums or AIDS or during a process of organ transplantation or during the perinatal period. In another aspect, this application provides a process for preparing the composition of forsythia suspensa and panax ginseng components is simple, suitable for industrial production and easy to popularize.

Abstract: MR image data can be improved by using a complex de-noising convolutional neural network such as a non-blind C-DnCNN, a network for MRI denoising that leverages complex-valued data with phase information and noise level information to improve denoising performance in various settings. The proposed method achieved superior performance on both simulated and in vivo testing data compared to other algorithms. The utilization of complex-valued operations allows the network to better exploit the complex-valued MRI data and preserve the phase information. The MR image data is subject to complex de-noising operations directly and simultaneously on both real and imaginary parts of the image data. Complex and real values are also utilized for block normalization and rectified linear units applied to the noisy image data. A residual image is predicted by the C-DnCNN and a clean MR image is available for extraction.

Abstract: A miniature spectrum chip includes a CIS wafer and a light modulation layer. The light modulation layer includes a plurality of micro-nano structure units arranged on the surface of a photosensitive area of the CIS wafer. Each micro-nano structure unit include a plurality of micro-nano structure arrays. In each micro-nano structure unit, different micro-nano structure arrays are two-dimensional gratings formed of internal units of different shapes. In each micro-nano structure unit, internal units provided in different micro-nano structure arrays have different shapes, and each group of micro-nano structure arrays has different modulation effects on light of different wavelengths, such that the degree of freedom of “shape” is fully utilized to obtain rich modulation effects on incident light. The precision of spectral restoration is improved.

Abstract: In one aspect, a composition of ginsenoside Rg3 and ginsenoside Rg5 and a preparation method thereof, as well as its application in manufacturing drugs, foods and health products for boosting immunity, enhancing anti-tumor effects, improving resistance to anti-tumor targeted drugs, mitigating toxic and side effects of radiotherapy and chemotherapy or improving anti-fatigue effects. The composition has advantages in rapid action, less toxicity and side effects and is suitable for long-term use. In another aspect, a safe, highly efficient and stable drug, food or health product which can be obtained by a simple preparation process suitable for industrial production and which can be easily scaled up.

Abstract: The present disclosure relates to a method and apparatus for automatic detection of anatomical sites from tomographic images.

Abstract: A multidimensional security situation real-time presentation method according to an embodiment includes selecting security testing cases of at least one dimensionality based on a test instruction to generate a target test set, and generating a corresponding target log set according to the target test set, determining a difference log set according to the target log set and a monitoring log set, and performing real-time output display of difference log events, test processing time periods, enhanced training nodes and a test processing efficiency corresponding to the difference log set.

Abstract: A noninvasive glucometer and a blood glucose detection method are provided. The noninvasive glucometer includes a light source, a spectrometer and detecting space into which an object to be detected intervenes; the detecting space is connected with the light source and the spectrometer respectively, so that a spectrum emitted by the light source can generate incident light entering the spectrometer after passing through the object to be detected. The spectrometer includes: an optical modulation layer configured to perform light modulation on the incident light to obtain a modulated spectrum; a photoelectric detection layer located below the optical modulation layer, and configured to receive the modulated spectrum and provide differential responses with respect to the modulated spectrum; and a signal processing circuit layer located below the photoelectric detection layer and configured to reconstruct the differential responses to obtain an original spectrum.

Abstract: Systems and methods for performing ungated magnetic resonance imaging are disclosed herein. A method includes producing magnetic resonance image MRI data by scanning a target in a low magnetic field with a pulse sequence having a spiral trajectory; sampling k-space data from respective scans in the low magnetic field and receiving at least one field map data acquisition and a series of MRI data acquisitions from the respective scans; forming a field map and multiple sensitivity maps in image space from the field map data acquisition; forming target k-space data with the series of MRI data acquisitions; forming initial magnetic resonance images in the image domain by applying a Non-Uniform Fast Fourier Transform to the target k-space data; and forming reconstructed images with a low rank plus sparse (L+S) reconstruction algorithm applied to the initial magnetic resonance images.

Abstract: Described is a method of setting up a direct connection between edge sites on a 5G communications network. The method comprises: configuring 5G network functions (NFs) in the 5G communications network; configuring 5G NFs at the edge sites, if not already configured; and based on said configured NFs, setting up a direct tunnel between the edge sites according to a pre-defined tunnel policy.

Abstract: The present disclosure relates to a method and apparatus for robust and automatic face de-identification from CT and MRI. The method includes: receiving DICOM files of patient bodies obtained by a CT or MM system; normalizing the images; extracting the heads from bodies; creating face masks; and writing DICOM files back with de-identified faces.

Abstract: The present disclosure relates to a method and apparatus for automatic head and neck organ segmentation. The method includes: receiving 3D images obtained by a CT system or an MRI system; processing the 3D images to transform to patient coordinate system and have the same spatial resolution and matrix size; building a deep learning framework using CNN models for organ segmentation; doubling the size of training dataset by emulating uncollected training data with mirrored images and their corresponding labels; improving the performance by predicting on original and mirrored images and averaging the output probabilities; and post-processing the output from the deep learning framework to obtain final organ segmentation.

Abstract: The present disclosure relates to a method and apparatus for fast Monte Carlo (MC) dose calculation using a virtual source model (VSM).

Abstract: The present invention provides a use of a phillyrin/phillygenin composition which targets and inhibits 3CLpro protein of COVID-19 virus, in preparation of an anti-coronavirus drug or a drug for treating a disease caused by the coronavirus, wherein the coronavirus is COVID-19 virus, and the disease caused by the coronavirus is COVID-19.

Abstract: An image collection chip, an object imaging recognition device and an object imaging recognition method are provided. The image collection chip comprises an optical modulation layer and an image sensing layer. The optical modulation layer is located on the image sensing layer. The optical modulation layer is provided with at least two modulation units and the image sensing layer is provided with sensing units corresponding to the at least two modulation units in a form of up and down. Each of the at least two modulation units is provided with at least one modulation subunit. Two or more modulation units among the at least two modulation units have different graphic structures, and the two or more modulation units having different graphic structures have different modulation roles on spectrum.

Abstract: Methods and systems for reverse design of micro-nano structure based on a deep neural network. The method includes step 101 of acquiring initial data of a micro-nano structure according to the micro-nano structure to be reversely designed. The method also includes step 102 of inputting the initial data of the micro-nano structure into a trained optical parameter prediction model to obtain optical prediction parameters. The method further includes step 103 of evaluating the optical prediction parameters. The method also includes optimizing the initial data of the micro-nano structure, inputting the optimized data of the micro-nano structure into the trained optical parameter prediction model, and performing steps 102 and 103 again until the evaluation result of the optical prediction parameters obtained in a current iteration satisfies the preset condition. Through the method of the present application, the electromagnetic response calculation time of the reverse design is greatly shortened.