Abstract: An image processing method includes obtaining a sample image and a generative adversarial network (GAN), including a generation network and an adversarial network, and performing style conversion on the sample image, to obtain a reference image. The method further includes performing global style recognition on the reference image, to determine a global style loss between the reference image and the sample image, and performing image content recognition on the reference image and the sample image, to determine a content loss between the reference image and the sample image. The method also includes performing local style recognition on the reference image and the sample image, to determine a local style loss of the reference image and a local style loss of the sample image, training the generation network to obtain a trained generation network, and performing style conversion on a to-be-processed image by using the trained generation network.

Abstract: A method of training a neural network (Convolutional Neural Network-CNN) including reduced graphical annotation input is provided. The training method can be used to train a Testing CNN that can be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a test specimen. The training method includes capturing training images of multiple specimen containers including training specimens, generating region proposals of the serum or plasma portions of the training specimens; and selecting the best matches for the location, size and shape of the region proposals for the multiple training specimens. The obtained features (network and weights) from the training CNN can be used in a testing CNN. Quality check modules and testing apparatus adapted to carry out the training method, and characterization methods using abounding box regressor are described, as are other aspects.

Abstract: A method for three-dimensional edge detection includes obtaining, for each of plural two-dimensional slices of a three-dimensional image, a two-dimensional object detection result and a two-dimensional edge detection result, stacking the two-dimensional object detection results into a three-dimensional object detection result, and stacking the two-dimensional edge detection results into a three-dimensional edge detection result. The method also includes performing encoding according to a feature map of the three-dimensional image, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an encoding result, and performing decoding according to the encoding result, the three-dimensional object detection result, and the three-dimensional edge detection result, to obtain an optimized three-dimensional edge detection result of the three-dimensional image.

Abstract: A network device obtains, at different time, a plurality of event-object connection graphs corresponding to a communications network; determines a plurality of subgraphs based on the plurality of event-object connection graphs; updates an object in each of the plurality of subgraphs to a corresponding object type based on a correspondence between an object and an object type, to obtain a plurality of updated subgraphs; and determines a fault propagation condition based on the plurality of updated subgraphs, where the fault propagation condition is used to indicate a path through which a fault is propagated in the communications network.

Abstract: Silica nanorings, methods of making silica nanorings, and uses of silica nanorings. The silica nanorings may be PEGylated. The silica nanorings may be surface functionalized, which may be surface selective functionalization, with one or more polyethylene glycol (PEG) group(s), one or more display group(s), one or more functional group(s), or a combination thereof. The silica nanorings may have a size of 5 to 20 nm. The silica nanorings may be made using micelles. The absence or presence of the micelles during PEGylation and/or functionalization allows for surface selective functionalization. The silica nanorings may be used in various diagnostic and/or treatment methods.

Abstract: This application provides a gesture information processing method and apparatus, an electronic device, and a storage medium. The method includes: determining an electromyography signal collection target object in a gesture information usage environment; dividing the electromyography signal sample through a sliding window having a fixed window value and a fixed stride into different electromyography signals of the target object, and denoising the different electromyography signals of the target object; recognizing the denoised different electromyography signals, and determining probabilities of gesture information represented by the different electromyography signals; and weighting the probabilities of the gesture information represented by the different electromyography signals, so as to determine gesture information matching the target object.

Abstract: An image segmentation method includes obtaining target domain images and source domain images, and segmenting the source domain images and the target domain images by using a generative network in a first generative adversarial network. The method further includes segmenting the source domain images and the target domain images by using a generative network in a second generative adversarial network, and determining a first source domain image and a second source domain image according to source domain segmentation losses, and determining a first target domain image and a second target domain image according to target domain segmentation losses. The method also includes performing cross training on the first generative adversarial network and the second generative adversarial network to obtain a trained first generative adversarial network; and segmenting a to-be-segmented image based on the generative network in the trained first generative adversarial network.

Abstract: Described herein is a method of induced cell death via ferroptosis by nanoparticle ingestion. Moreover, the present disclosure describes the administration of high concentrations of ultrasmall nanoparticles at multiple times over the course of treatment in combination with a nutrient-depleted environment, thereby modulating cellular metabolic pathways to induce cell death by the mechanism ferroptosis. Ferroptosis involves iron, reactive oxygen species, and a synchronous mode of cell death execution.

Abstract: An aqueous synthesis methodology for the preparation of silica nanoparticles (SNPs), core-shell SNPs having, for example, a size of 2 to 15 nm and narrow size-dispersion with size control below 1 nm, i.e. at the level of a single atomic layer. Different types of dyes, including near infrared (NIR) emitters, can be covalently encapsulated within and brightness can be enhanced via addition of extra silica shells. The surface may be functionalized with polyethylene glycol (PEG) groups and, optionally, specific surface ligands. This aqueous synthesis methodology also enables synthesis of 2 to 15 nm sized fluorescent core and core-shell aluminosilicate nanoparticles (ASNPs) which may also be surface functionalized. Encapsulation efficiency and brightness of highly negatively charged NIR fluorophores is enhanced relative to the corresponding SNPs without aluminum.

Abstract: This disclosure discloses a method and apparatus for processing a motor MI-EEG signal and a storage medium. The method includes: inputting a source MI-EEG signal belonging to a source domain and a target MI-EEG signal belonging to a target domain to an initial feature extraction model to obtain first source MI features and first target MI features; inputting the first source MI features to an initial classification model to obtain a first classification result outputted by the initial classification model, the first classification result representing an action predicted to be performed in the source MI-EEG signal; and adjusting a model parameter of the initial feature extraction model and/or a model parameter of the initial classification model when a certain condition (set) is met.

Abstract: A pump valve module and operating method, a solenoid valve-based pump valve module for providing a massage function for a vehicle seat, and a vehicle seat are disclosed. A composite solenoid valve in the pump valve module includes deflation solenoid valve and inflation solenoid valve connected in series and formed integrally by injection molding. A first part region of the inflation solenoid valve is connected to air source. A second part region of the deflation solenoid valve is connected to inflated bag. A second part region of the inflation solenoid valve is connected to a first part region of the deflation solenoid valve. Inflation is implemented when the inflation solenoid valve is powered on and the deflation solenoid valve is de-energized. Deflation is implemented through a third part region of the deflation solenoid valve when the inflation solenoid valve is de-energized and the deflation solenoid valve is powered on.

Abstract: For topogram predication from surface data, a sensor captures the outside surface of a patient. A generative adversarial network (GAN) generates the topogram representing an interior organ based on the outside surface of the patient. To further adapt to specific patients, internal landmarks are used in the topogram prediction. The topogram generated by one generator of the GAN may be altered based on landmarks generated by another generator.

Abstract: The disclosure relates to methods, devices, systems, and computer storage medium for performing medical image segmentation. The method includes: The method includes: obtaining, by a device, a first medical image and a second medical image with a labeled region; performing, by the device, feature extraction on the first medical image and the second medical image respectively, to obtain first feature information of the first medical image and second feature information of the second medical image; obtaining, by the device, optical flow motion information from the second medical image to the first medical image according to the first feature information and the second feature information; and segmenting, by the device, the first medical image according to the optical flow motion information and the labeled region, to obtain a segmentation result of the first medical image.

Abstract: Described herein is a method of induced cell death via ferroptosis by nanoparticle ingestion. Moreover, the present disclosure describes the administration of high concentrations of ultrasmall nanoparticles at multiple times over the course of treatment in combination with a nutrient-depleted environment, thereby modulating cellular metabolic pathways to induce cell death by the mechanism ferroptosis. Ferroptosis involves iron, reactive oxygen species, and a synchronous mode of cell death execution.

Abstract: A sample generation method outputs a dummy sample set generated by a trained sample generation network that operates on spliced vectors formed by combining real category feature vectors extracted from real samples with real category label vectors corresponding to the real samples. The trained sample generation network is trained using real samples and dummy samples that are generated by an intermediate sample generation network operating on the spliced vectors. The training includes inputting the real samples and the dummy samples to an intermediate sample discrimination network, performing iterative adversarial training of the intermediate sample generation network and the intermediate sample discrimination network until an iteration stop condition is met. As a result, the dummy sample set output by the trained sample generation network includes dummy samples that are not easily differentiated from real samples and that are already labeled with category information, for accurate use in training classifiers.

Abstract: The present disclosure provides an artificial intelligence-based (AI-based) medical image processing method performed by a computing device, and a non-transitory computer-readable storage medium. The AI-based medical image processing method includes: processing a medical image to generate an encoded intermediate image; processing the encoded intermediate image, to segment a first feature and generate a segmented intermediate image; processing the encoded intermediate image and the segmented intermediate image based on an attention mechanism, to generate a detected intermediate input image; and performing second feature detection on the detected intermediate input image, to determine whether an image region of the detected intermediate input image in which the first feature is located comprises a second feature.

Abstract: The present invention discloses an organic light-emitting display panel, a manufacturing method thereof, and an encapsulation film thereof. In this invention, an auxiliary encapsulation layer is disposed on an outer side of an inorganic layer, and the auxiliary encapsulation layer at least covers a bending region of the inorganic layer and a boundary region of the inorganic layer. Even if the inorganic layer cracks or peels in the bending region and the boundary region, a channel of water and oxygen generated at a cracked place or a peeling place is blocked by the auxiliary encapsulation layer, thereby ensuring an ability of the encapsulation film to block water and oxygen into an organic light-emitting device.

Abstract: Embodiments of this disclosure include a method and an apparatus for segmenting a medical image. The method may include obtaining a slice pair comprising two slices and performing feature extraction on each slice in the slice pair, to obtain high-level feature information and low-level feature information of the each slice in the slice pair. The method may further include segmenting a target object in the each slice according to the low-level feature information and the high-level feature information of the slice, to obtain an initial segmentation result of the each slice and fusing the low-level feature information and the high-level feature information of the slices to obtain a fused feature information. The method may further include determining correlation information between the slices according to the fused feature information and generating a segmentation result of the slice pair based on the correlation information and the initial segmentation results of the slices.

Abstract: The present invention provides a display panel comprising a base substrate, wherein the base substrate comprises a display area and a non-display area disposed around the display area; a light emitting layer disposed on the display area; a first inorganic layer disposed on the base substrate and covering the light emitting layer; a guiding structure disposed on the first inorganic layer; an organic layer disposed on the guiding structure, wherein the guiding structure is used to guide vapor in the organic layer into the non-display area; and a second inorganic layer disposed on the guiding structure and covering the organic layer.

Abstract: A correspondence between frames of a set of medical image data is determined where the set of medical image data includes at least one frame acquired without contrast medium and at least one frame acquired with contrast medium. First data representing a first image frame acquired without contrast medium is received. Second data representing a second image frame acquired with contrast medium is received. A position of a feature of a medical device in the second image frame is determined at least partly on the basis of a position of the feature determined from the first image frame.