SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

The present disclosure relates to the field of image processing technologies, and provides an ultrasound image segmentation method and apparatus, a terminal device, and a storage medium. With the method, simulated ultrasound images are synthesized based on Computed Tomography (CT) images. An image segmentation model is pre-trained using the synthesized simulated ultrasound images. The pre-trained image segmentation model is migrated, by employing a transfer learning method, to real sample ultrasound images for further training to obtain a final image segmentation model. A segmentation processing on an ultrasound image to be segmented is completed by the final image segmentation model. In this way, the ultrasound images synthesized based on the CT images can be used to replace a part of training data, thereby solving a problem of lack of training data when training the image segmentation model.

A cellular mechanical property measurement and sorting method comprises: cells to be sorted being arranged in a straight line after passing through a standing wave acoustic field generated by a first interdigital transducer; the cells flowing through a focused acoustic field generated by a second interdigital transducer, and the focused acoustic field generating a radiation force on the cells, such that the cells are deformed; performing calculation according to information of the radiation force and deformation, so as to obtain elastic moduli of the cells; determining the positions of the cells, and selectively driving, with designed delay time, interdigital transducers in a cell sorting unit according to the moving speeds of the cells and the distances between the cells and the sorting unit, and triggering, according to the elastic moduli, a corresponding interdigital transducer to generate a planar acoustic field, so as to sort the cells.

A numerical control machine tool includes: a base; a movable shaft assembly, which is arranged on the base; a rotary shaft assembly, which is arranged on the base, wherein a portion of a structure of the rotary shaft assembly is configured to move under the action of a portion of a structure of the movable shaft assembly, thereby performing turn-milling compound machining on a part; and a clamping assembly, which is arranged on the base and is used for clamping and fixing the part. The clamping assembly includes a first fixing member, a mounting member, a driving member and a flipping member.

A prediabetes detection system and method based on combination of electrocardiogram and electroencephalogram information are provided. The system includes: a signal obtaining module, configured to obtain an electrocardiogram signal and an electroencephalogram signal of a user in a noninvasive manner; a feature extraction module, configured to: perform dimension reduction processing on a combined feature set composed of an electrocardiogram feature and an electroencephalogram feature to obtain a plurality of dimension-reduced combined feature sets, and select an electrocardiogram feature and an electroencephalogram feature meeting a preset criteria of correlation by analyzing a correlation between the plurality of dimension-reduced combined feature sets and a blood glucose concentration value to constitute an optimized combined feature set; and a multimodal fusion module, configured to input the optimized combined feature set into a plurality of trained neural network models, to obtain a detection result by fusing results of the plurality of neural networks.

The present application is applicable to the technical field of computer vision, and provides a method for reconstructing a three-dimensional object combining structured light and photometry and a terminal device, wherein the method comprises: acquiring N first images, wherein each first image is obtained by shooting after a coded pattern having a coding stripe sequence is projected to a three-dimensional object, and N is a positive integer; determining structured light depth information of the three-dimensional object based on the N first images; acquiring M second images, wherein the M second images are obtained by shooting after P light sources are respectively projected to the three-dimensional object from different directions, and M and P are positive integers; determining photometric information of the three-dimensional object based on the M second images; and reconstructing the three-dimensional object based on the structured light depth information and the photometric information. Therefore, the structured light system and the photometric system are combined to reconstruct the three-dimensional object, and the precision of a three-dimensional reconstruction result of the three-dimensional object with complex surfaces is improved.

A retrieval-augmented generation method, system, device, and medium and a question-answering method are provided, belonging to the field of data processing technology. The retrieval-augmented generation method includes: acquiring a query statement to be retrieved; converting the query statement to be retrieved into K knowledge fragments to be augmented based on a trained embedding model; and inputting the K knowledge fragments to be augmented into the trained recommendation model to obtain several augmented knowledge fragments and their sequencing. The method, system, device, and medium can perform data interaction based on user preferences and usage habits.

The present disclosure relates to the technical field of image processing and provides a motion estimation method and apparatus for a tumor, a terminal device, and a storage medium. The method includes: obtaining a current value of a respiratory correlation signal of a patient, the respiratory correlation signal reflecting a motion trajectory feature of a designated organ with the tumor of the patient in each of different respiratory states; inputting the current value of the respiratory correlation signal into a tumor motion estimation model to obtain an estimated current position of the tumor; and inputting the estimated current position of the tumor into an organ motion estimation model to obtain an estimated current velocity vector field of the designated organ. By adopting the motion estimation method, it realizes a respiratory motion estimation for the whole organ and enhance accuracy of positioning the tumor and vital anatomical structures around the tumor.

The present application relates to image processing technical field, and provides a method for image reconstruction, an apparatus, a terminal device, and a storage medium. The method first extracts an initial feature map of an original image, then calculates an average value of each column pixel in the initial feature map, and constructs a target row vector and duplicates the target row vector in the column direction after convolution processing, to obtain a feature map. In addition, an average value of the element of each row of pixels in the initial feature map is calculated respectively, and a target column vector is constructed. It is duplicated in a row direction to obtain another feature map, and then the two feature maps are fused. Finally, two-dimensional convolution processing is performed on a fused feature map, and a reconstructed image is generated, thereby the long-distance dependencies of the image can be captured.

A matrix motor based on mirror symmetry principle includes several motor elements. The motor elements are with two types; the motor element type is either a Type A motor element or a Type B motor element; the motor element exterior outlines of the two types are both square or rectangular; the spliced edge connecting two adjacent motor elements can be used as a mirror axis, and the Type A motor elements and the Type B motor elements are symmetrically arranged with respect to the mirror axis; two motor elements that are symmetrical about a mirror axis in the matrix motor are opposite types. The application solves the problems of the existing matrix motor, such as weak mutual coupling of all matrix motors, weak output torque, insufficiently compact arrangement, and imperfect electromagnetic scheme among all motor elements.

The present invention provides use of anti-MCP1 neutralizing antibody in preparing medicament for treating systemic inflammation caused by neurodegenerative diseases, and further provides use of the neutralizing antibody in preparing a medicament for treating central and peripheral inflammatory responses of neurodegenerative diseases. The neutralizing antibody can effectively inhibit systemic inflammatory responses caused by neurodegenerative diseases. The present invention provides a new way and orientation for treating neurodegenerative diseases.