Abstract: An atomization core includes: a substrate; and a heating element in contact with the substrate, the heating element including SS316L heating wires and two electrode connecting portions. The SS316L heating wires heat an aerosol generation substrate. The two electrode connecting portions are electrically connectable to a power supply. The two electrode connecting portions are arranged at an interval. The SS316L heating wires are bent and extend to be connected to the two electrode connecting portions.

Abstract: The present disclosure provides a method for automated image acquisition and imaging processing. The method may include obtaining imaging information of an object. The method may include determining, based on the imaging information, at least target device positioning information of an imaging device. The method may include causing, based on the target device positioning information of the imaging device, the imaging device to be positioned to perform the image acquisition. The method may include providing, based on the inspection information, guidance information, the guidance information being configured to guide positioning of the object. The method may also include obtaining a target image from an imaging operation by the imaging device. Further, the method may include determining a target image processing algorithm of a medical image.

Abstract: A region-of-interest extraction method and an apparatus, and a device, a system and a storage medium are provided. The region-of-interest extraction method is applied to an X-ray imaging system. The X-ray imaging system includes a detector and an array X-ray source, the array X-ray source includes a plurality of X-ray sources having different projection angles, and imaging regions corresponding to the plurality of X-ray sources are formed on the detector.

Abstract: Methods of implementing a standard deconvolution on a graphics processing unit, the standard deconvolution being representable as a direct convolution between an input tensor to the standard deconvolution and each of a plurality of a sub-filters, each sub-filter of the plurality of sub-filters comprising a subset of weights of a filter of the standard deconvolution.

Abstract: Methods of implementing a sparse submanifold deconvolution on a graphics processing unit, the sparse submanifold deconvolution being representable as a direct convolution between an input tensor to the sparse submanifold deconvolution and each of a plurality of a sub-filters, each sub-filter of the plurality of sub-filters comprising a subset of weights of a filter of the sparse submanifold deconvolution.

Abstract: Methods of implementing a sparse submanifold convolution on a graphics processing unit. The methods include: receiving, at the graphics processing unit, an input tensor in a dense format; identifying, at the graphics processing unit, active positions of the input tensor; performing, at the graphics processing unit, an indexed unfold operation on the input tensor based on the identified active positions to generate an input matrix comprising elements of the input tensor in each active window of the input tensor; and performing, at the graphics processing unit, a matrix multiplication between a weight matrix and the input matrix to generate an output matrix that comprises elements of an output tensor of the sparse submanifold convolution based on the active windows. The methods may further comprise performing, at the graphics processing unit, an indexed fold operation on the output matrix based on the active windows to generate an output tensor in a dense format.

Abstract: Methods of implementing a standard convolution on a graphics processing unit. The methods include: receiving, at the graphics processing unit, an input tensor in a dense format; identifying, at the graphics processing unit, active positions of the input tensor; performing, at the graphics processing unit, an indexed unfold operation on the input tensor based on the identified active positions of the input tensor to generate an input matrix comprising elements of the input tensor in each non-zero window of the input tensor; and performing, at the graphics processing unit, a matrix multiplication between a weight matrix and the input matrix to generate an output matrix that comprises elements of an output tensor of the standard convolution based on the non-zero windows of the input tensor.

Abstract: Methods of implementing a sparse submanifold convolution using a neural network accelerator. The methods include: receiving, at the neural network accelerator, an input tensor in a sparse format; performing, at the neural network accelerator, for each position of a kernel of the sparse submanifold convolution, a 1×1 convolution between the received input tensor and weights of filters of the sparse submanifold convolution at that kernel position to generate a plurality of partial outputs; and combining appropriate partial outputs of the plurality of partial outputs to generate an output tensor of the sparse submanifold convolution in sparse format.

Abstract: A method may include obtaining an original image. The method may also include determining a plurality of decomposition coefficients of the original image by decomposing the original image. The method may also include determining at least one enhancement coefficient by performing enhancement to at least one of the plurality of decomposition coefficients using a coefficient enhancement model. The method may also include generating an enhanced image corresponding to the original image based on the at least one enhancement coefficient.

Abstract: The present disclosure relates to systems and methods for image reconstruction. The systems may obtain one or more projection images of an object and a first reconstruction image corresponding to the one or more projection images. The systems may determine, for each of the one or more projection images, an initial range of a target region on the projection image based on the first reconstruction image. The target region may be a low-gray region generated on the projection image by a substance with an X-ray attenuation coefficient greater than a predetermined threshold. The systems may determine, within the initial range, the target region on the projection image. The systems may generate a three-dimensional (3D) image of the object based at least on target regions corresponding to the one or more projection images.

Abstract: The present invention provides an easy-to-assemble bedstead, including an outer frame which includes a plurality of transverse beams and a plurality of longitudinal beams perpendicular to them, and a plurality of bed legs perpendicular to the plane formed by the plurality of transverse beams and the plurality of longitudinal beams. Each of the plurality of bed legs is fixedly provided with at least one inserting sleeve facing the directions of the plurality of longitudinal beams or the plurality of transverse beams respectively, and the two ends of at least one of the plurality of longitudinal beams or the plurality of transverse beams are fixedly provided with inserting blocks corresponding to the inserting sleeves. The rapid assembly and disassembly of the transverse beams, longitudinal beams, and bed legs can be realized through the matching of the inserting sleeves and the inserting blocks.

Abstract: Provided are a communication method and system for a distributed heterogeneous acceleration platform, a device and a medium. The method includes: after starting a collaborative acceleration task, determining, by a first target heterogeneous acceleration card in a distributed heterogeneous acceleration platform, a second target heterogeneous acceleration card from the distributed heterogeneous acceleration platform by querying an information table corresponding to the collaborative acceleration task; generating, by the first target heterogeneous acceleration card, a target data packet according to a predefined data packet format, and sending the target data packet to the second target heterogeneous acceleration card via a PCIE interface; and parsing, by the second target heterogeneous acceleration card, the target data packet according to the data packet format, and executing a corresponding read operation or write operation according to a parsing result, so as to complete the collaborative acceleration task.

Abstract: A screen-printing ink, a method (10) of manufacturing the screen-printing ink, a 5 method (50) of producing a screen-printed electrode, and a screen-printed electrode are provided. The screen-printing ink includes graphite, an electrically conductive binder to bind the graphite, a cross-linking agent to cross-link the binder, and at least one of a conductivity modifier and a hydrophobicity modifier.

Abstract: Embodiments of the present disclosure provide a solution for video streaming. A method for retrieving media data comprises: determining, by a first device, identity information for a target segment of a media representation from a manifest file, the target segment being specified as comprising one of the following: a concatenation of an initialization segment for the media representation and a media segment containing media data if the initialization segment is absent from the manifest file, or the media segment containing the media data if the initialization segment is present in the manifest file; and retrieving the target segment based on the identity information.

Abstract: The embodiments of the present disclosure provide methods, systems and computer storage mediums for processing an image. The method may include: obtaining a plurality of projection images generated at a plurality of angles; reconstructing, based on the plurality of projection images, a plurality of tomographic images of a plurality of slices; and obtaining a target image sequence based on the plurality of tomographic images of the plurality of slices, wherein the target image sequence including one or more fusion images, and the one or more fusion images are generated based on one or more tomographic images of the plurality of tomographic images corresponding to one or more slices of the plurality of slices.

Abstract: The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

Abstract: The present disclosure provides systems and methods for image segmentation. The method may include determining, based on image data of a subject, an initial boundary of a target object inside the subject, wherein a difference between a first parameter value of at least one parameter of the target object and a second parameter value of the at least one parameter of the subject satisfies a condition; determining, based on the initial boundary of the target object, a closed boundary of the target object; and segmenting, based on the initial boundary and the closed boundary, a target portion corresponding to the target object from the image data.