Abstract: An image processing method performed by a terminal is provided. A molybdenum target image is obtained, and a plurality of candidate regions are extracted from the molybdenum target image. In the molybdenum target image, a target region is marked in the plurality of candidate regions by using a neural network model obtained by deep learning training, a probability that a lump comprised in the target region is a target lump being greater than a first threshold, a probability that the target lump is a malignant tumor being greater than a second threshold, and the neural network model being used for indicating a mapping relationship between a candidate region and a probability that a lump comprised in the candidate region is the target lump.

Abstract: A method for 3D surface imaging of an object, comprising generating a sinusoidal pattern from an input beam; projecting the sinusoidal pattern onto the object; acquiring deformed structured images from the object; reconstructing and displaying the surface of the object in real-time. A system comprises an device encoding an input beam with a structured pattern; a filter configured to spatially filter the encoded beam; a projector lens projecting the structured pattern onto the object; a high speed camera acquiring a structured pattern deformed by the 3D surface of the object; a graphic processing unit; and a CoaXPress interface transferring data acquired by the camera to the graphic processing unit; the graphic processing unit reconstructing and displaying the 3D surface of the object in real-time.

Abstract: A ball valve structure includes a valve body having a valve chamber therein. A valve ball is accommodated in the valve chamber. The valve ball defines a flow hole therein. Two gaskets are in close contact with two opposite side surfaces of the valve ball, so that the valve ball can rotate around a fixed point in the valve chamber. One side of one of the two gaskets abuts against a washer and a compression spring, so that the gasket is elastically pressed against a surface of the valve ball. A valve stem is connected to the valve ball through the valve body for driving the valve ball to rotate, enabling the flow hole to be opened.

Abstract: Aspects of the disclosure are directed to the field of artificial intelligence technologies and provides a method and an apparatus for obtaining a feature of duct tissue based on computer vision, an intelligent microscope, a storage medium, and a computer device. The method can include the steps of obtaining an image including duct tissue, determining, in an image region corresponding to the duct tissue in the image, at least two feature obtaining regions adapted to duct morphology of the duct tissue, obtaining cell features of cells of the duct tissue in the feature obtaining regions respectively, and obtaining a feature of the duct tissue based on the cell features of the cells of the duct tissue in the feature obtaining regions respectively.

Abstract: The present disclosure is directed to techniques for medical imaging image presentation. The techniques include obtaining, for a target area including a first target, an image of the target area that is taken without a contrast agent and an image of the target area that is taken with a contrast agent. The techniques also include subtracting the image that is taken with a contrast agent from the image that is taken without a contrast agent to obtain a subtraction image; extracting a contour of a second target from the subtraction image, to obtain a contour image of the second target; and registering, based on a same marker, the contour image of the second target and a currently-acquired (e.g. real-time) image, and then displaying the images in a superimposed manner. The technical solutions in the embodiments of the present disclosure improve the efficiency of treatment based on radiological images.

Abstract: Methods and systems are described for improvements to the use of distributed computer networks. For example, conventional systems may rely on the distribution of network or application traffic across multiple servers and may maintain load balancers to maintain that distribution in an efficient manner. Each load balancer may sit between client devices and backend servers, receiving and then distributing incoming requests to any available server capable of fulfilling them. The load balancers may ensure that no one server is overworked based on the number of processing requests directed to that server, which could degrade performance.

Abstract: Methods and systems are described for improvements to the use of distributed computer networks. For example, conventional systems may rely on the distribution of network or application traffic across multiple servers and may maintain load balancers to maintain that distribution in an efficient manner. Each load balancer may sit between client devices and backend servers, receiving and then distributing incoming requests to any available server capable of fulfilling them. The load balancers may ensure that no one server is overworked based on the number of processing requests directed to that server, which could degrade performance.

Abstract: Methods and systems are described for improvements to the use of distributed computer networks. For example, conventional systems may rely on the distribution of network or application traffic across multiple servers and may maintain load balancers to maintain that distribution in an efficient manner. Each load balancer may sit between client devices and backend servers, receiving and then distributing incoming requests to any available server capable of fulfilling them. The load balancers may ensure that no one server is overworked based on the number of processing requests directed to that server, which could degrade performance.

Abstract: Systems, methods, and computer-readable media for an integrated Wi-Fi Access Point and cellular network Radio Unit (RU) include a communication system interfacing with a wired network for communicating Wi-Fi traffic and cellular network traffic, the communication system integrating a Wi-Fi Access Point (AP) with a cellular network Radio Unit (RU). The Wi-Fi traffic and cellular network traffic can be processed in the communication system. The communication system can interface with at least one programmable Radio Frequency (RF) front end configured for wireless communication over one or more frequency bands for Wi-Fi traffic and one or more frequency bands for cellular network traffic (e.g., 5G, LTE, Wi-Fi).

Abstract: A large-aperture four-piece optical lens includes a first lens with positive focal power, a second lens with negative focal power, a third lens with positive focal power and a fourth lens with positive focal power which are sequentially arranged. A back of the fourth lens is provided with an image surface, an aperture diaphragm is arranged at a front end of the first lens or between the second lens and the third lens, and a vignetting diaphragm is arranged on an S7 surface of the fourth lens. An equivalent focal length of the fourth lens is greater than that of the third lens, and the equivalent focal length of the fourth lens is greater than that of the first lens. Each lens has a low sensitivity to an axial tolerance and a low assembly difficulty, and an energy utilization rate can be improved by increasing a numerical aperture.

Abstract: An AI-based object classification method and apparatus, a computer-readable storage medium, and a computer device. The method includes: obtaining a target image to be processed, the target image including a target detection object; separating a target detection object image of the target detection object from the target image; inputting the target detection object image into a feature object prediction model to obtain a feature object segmentation image of a feature object in the target detection object image; obtaining quantitative feature information of the target detection object according to the target detection object image and the feature object segmentation image; and classifying the target detection object image according to the quantitative feature information to obtain category information of the target detection object in the target image.

Abstract: A random access method for a terminal includes: receiving a system message broadcasted by a target base station and initiating random access to the target base station; in response to a failure of the random access, determining a first operator to which the target base station belongs based on a first PLMN identity in the plurality of PLMN identities; and in response to a second operator, to which the terminal belongs, being different from the first operator, stopping a random access retry to the target base station and initiating random access to other base station except the target base station. The system message includes a plurality of public land mobile network (PLMN) identities with an order relationship.

Abstract: Systems, methods, and computer-readable media for an integrated Wi-Fi Access Point and cellular network Radio Unit (RU) include a communication system interfacing with a wired network for communicating Wi-Fi traffic and cellular network traffic, the communication system integrating a Wi-Fi Access Point (AP) with a cellular network Radio Unit (RU). The Wi-Fi traffic and cellular network traffic can be processed in the communication system. The communication system can interface with at least one programmable Radio Frequency (RF) front end configured for wireless communication over one or more frequency bands for Wi-Fi traffic and one or more frequency bands for cellular network traffic (e.g., 5G, LTE, Wi-Fi).

Abstract: A method for network access, a terminal, and a storage medium are provided. The method includes that: the terminal acquires a first frequency band corresponding to a first cell where the terminal camps; determines whether the first frequency band belongs to a second frequency band predetermined by the terminal; and performs handover to a second cell which is different from the first cell in response to determining that the first frequency band does not belong to the second frequency band.

Abstract: A system and a method for 3D imaging of an object, the method comprising projecting sinusoidal fringe patterns onto the object using a projecting unit and capturing fringe patterns deformed by the object, alternatively by at least a first camera and a second camera, and recovering a 3D image of the object pixel by pixel from mutually incomplete images provided by the first camera and the second camera, by locating a point in images of the second camera that matches a selected pixel of the first camera; determining estimated 3D coordinates and wrapped phase based on calibration of the cameras, determining an horizontal coordinate on the plane of a projector of the projecting unit based on calibration of the projector, and using a wrapped phase value to recover a 3D point of 3D coordinates (x, y, z).

Abstract: Methods, devices, apparatuses, and systems for living body detection are provided. In one aspect, a living body detection method includes: determining multiple target face images from an acquired to-be-detected video based on similarities between multiple face images included in the to-be-detected video, and determining a living body detection result for the to-be-detected video based on the multiple target face images.

Abstract: An optical lens is provided with three lens pieces. The optical lens includes a diaphragm, a first lens piece having positive focal power, a second lens piece having negative focal power and a third lens piece having positive focal power, arranged in sequence. The first lens piece has an S1 surface and an S2 surface. The second lens piece has an S3 surface and an S4 surface. The third lens piece has an S5 surface and an S6 surface. An S7 surface is provided on a side of the S6 surface away from the S5 surface. A lens frame is provided at the S6 surface or between the S6 and S7 surfaces. The calibers of the Si to S7 surfaces sequentially decrease. An equivalent focal length of the first lens piece is larger than that of the third lens piece. A numerical aperture of the lens is larger than 0.6.

Abstract: The disclosure discloses a method for constructing actual processing curve of part with small curvature based on a point cloud boundary. The method includes: (a) encrypting a three-dimensional ordered boundary curve of a part to be processed; (b) fitting encrypted boundary points into a plane, and projecting each boundary point into the plane to obtain a projection point; (c) performing Euclidean cluster within the plane to obtain point sets, and fitting the obtained point sets into a straight line; (d) performing the Euclidean cluster on projection points that are not fitted into the straight line to obtain corner point sets, and fitting a sharp corner or a rounded corner of the corner point sets to obtain a fitted boundary curve within the plane; (e) mapping the fitted boundary curve to a curved surface of the three-dimensional ordered boundary curve to obtain an actual processing curve of the part to be processed.

Abstract: The present invention provides an optical projection system with microlens arrays. The optical projection system includes a light source, a collimating lens, a first microlens array, a projection source, a positive lens module, a second microlens array and a receiving surface which are arranged in sequence. The first microlens array includes n first microlens units arranged in an array. The projection source includes n projected image units arranged in an array. The second microlens array includes n second microlens units arranged in an array. The first microlens unit and the second microlens unit which are opposite to each other have a common optical axis. According to the system of the present invention, sub-real image units can be compounded and superposed on the receiving surface, such that optical crosstalk between adjacent optical channels can be avoided.

Abstract: The present disclosure relates to a method for training a neural network model performed at an electronic device. The method includes: performing initial training by using a first training sample set to obtain an initial neural network model; performing a prediction on a second training sample set by using the initial neural network model to obtain a prediction result of each of training samples in the second training sample set; determining a plurality of preferred samples from the second training sample set based on the prediction results; adding the plurality of preferred samples that are annotated to the first training sample set to obtain an expanded first training sample set; updating training of the initial neural network model by using the expanded first training sample set to obtain an updated neural network model until a training ending condition is satisfied.