Abstract: A multi-fault diagnosis method has the following steps: measuring cell voltages of a battery pack to be diagnosed; constructing a cell voltage sequence according to measured cell voltages of the battery pack to be diagnosed, and calculating a sample entropy value of the cell voltage sequence; setting a correction coefficient for representing voltage fluctuation information, and correcting the sample entropy value through the correction coefficient to obtain a corrected sample entropy value; and judging and outputting a fault type of the battery pack to be diagnosed according to a numerical value change of the corrected sample entropy value. Faults of cells can be accurately diagnosed without a model, sample entropy values under different faults can be distinguished by setting the correction coefficient, the intuitiveness and efficiency of fault detection are improved, and the fault type and time of the lithium-ion cells can be quickly, accurately and stably diagnosed and predicted.

Abstract: Provided in embodiments of the present disclosure are a data processing method and device, the method comprising: receiving a first request message from a target node, the first information containing at least one from among the following: information related to creating a data collection task, information related to updating a data collection task, and information related to cancelling a data collection task; and sending to the target node a first response message used to respond to the first request message.

Abstract: An image processing method is provided, including: obtaining image data of a cavity wall of an organ; unfolding the cavity wall; and generating an image of the unfolded cavity wall. The unfolding of the cavity wall may include: obtaining a mask and a centerline of the organ; obtaining a connected region of the mask; dividing the connected region into at least one equidistant block; determining an orientation of the equidistant block in a three-dimensional coordinate system including a first direction, a second direction and a third direction; determining an initial normal vector and an initial tangent vector of a center point of the centerline; assigning a projection of the initial normal vector to a normal vector of a light direction of the center point; assigning the third direction or an reverse direction of the third direction to a tangent vector of the light direction of the center point.

Abstract: An image processing method is provided, including: obtaining image data of a cavity wall of an organ; unfolding the cavity wall; and generating an image of the unfolded cavity wall. The unfolding of the cavity wall may include: obtaining a mask and a centerline of the organ; obtaining a connected region of the mask; dividing the connected region into at least one equidistant block; determining an orientation of the equidistant block in a three-dimensional coordinate system including a first direction, a second direction and a third direction; determining an initial normal vector and an initial tangent vector of a center point of the centerline; assigning a projection of the initial normal vector to a normal vector of a light direction of the center point; assigning the third direction or an reverse direction of the third direction to a tangent vector of the light direction of the center point.

Abstract: The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

Abstract: The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

Abstract: The present disclosure relates to an image processing method and a system thereof. The method may include: obtaining an image including at least one pixel or voxel; causing, via an interface, at least one interface element corresponding to at least one candidate texture model to be displayed, wherein the at least one candidate texture model is selected from a library including a plurality of candidate texture models that correspond to a plurality of candidate categories; receiving, via the at least one interface element, a selection of a texture model from the at least one candidate texture model; associating the texture model with the image; determining an output parameter of the at least one pixel or voxel based on the texture model; and generating an output image based on the output parameter of the at least one pixel or voxel.

Abstract: The present application discloses an image processing method and a system thereof. The method and the system may transform a list of color table adjustment parameters into one or more preset texture models, and associate a particular texture model with a particular image through an interactive mode. The method may include: obtaining an image including at least one pixel or voxel, obtaining a texture model, associating the image with the texture model; determining an output color of the at least one pixel or voxel based on the texture model associated with the image; and generating an output image based on the output color. The image processing method and system thereof provided by the present application may effectively improve the adjustment efficiency of the image display effect and the interaction experience.

Abstract: An image processing method is provided, including: obtaining image data of a cavity wall of an organ; unfolding the cavity wall; and generating an image of the unfolded cavity wall. The unfolding of the cavity wall may include: obtaining a mask and a centerline of the organ; obtaining a connected region of the mask; dividing the connected region into at least one equidistant block; determining an orientation of the equidistant block in a three-dimensional coordinate system including a first direction, a second direction and a third direction; determining an initial normal vector and an initial tangent vector of a center point of the centerline; assigning a projection of the initial normal vector to a normal vector of a light direction of the center point; assigning the third direction or an reverse direction of the third direction to a tangent vector of the light direction of the center point.

Abstract: The present disclosure discloses a method and apparatus for analyzing medical image. A specific embodiment of the method includes: acquiring medical image data; generating multi-scale decision sample data based on the medical image data; inputting the multi-scale decision sample data into a deep neural network model to obtain an auxiliary diagnosis data of the medical image, the deep neural network model being trained according to a consistency principle between multi-scale training sample data and an output result of the deep neural network model. In the embodiment, a multi-scale training sample is used to accelerate the training process of the deep neural network model, thus the auxiliary diagnosis decision process can be accelerated, while the accuracy of the trained deep neural network model of the embodiment is improved according to a consistency principle of data between different scales and output results, thereby improving the accuracy of auxiliary diagnosis decision.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for acquiring information. A specific embodiment of the method includes: acquiring a fundus image; introducing the fundus image into a pre-trained disease grading model to obtain disease grading information, the disease grading model being used for extracting characteristic information from a lesion image included in the fundus image, and generating disease grading information based on the extracted characteristic information, the disease grading information including grade information of a disease, a lesion type, a lesion location, and a number of lesions included by the disease; and constructing output information using the disease grading information. This embodiment improves the accuracy of grading information.

Abstract: The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

Abstract: The present disclosure discloses a method and apparatus for acquiring information. An implementation of the method comprises: acquiring a fundus image; introducing the fundus image into a pre-trained pathological classification model to obtain pathological classification information, wherein the pathological classification model is used for characterizing correspondence between a pathological area image contained from the fundus image and the pathological classification information, and the pathological classification information comprises at least one of diabetic retinopathy classification information and diabetic macular edema classification information; and establishing output information based on the pathological classification information.

Abstract: An embodiment of the present disclosure discloses a method and apparatus for annotating a medical image. An embodiment of the method comprises: acquiring a to-be-annotated medical image; annotating classification information for the to-be-annotated medical image, wherein the classification information comprises a category of a diagnosis result and a grade of the diagnosis result corresponding to the medical image; processing the to-be-annotated medical image using a pre-trained lesion area detection model, framing a lesion area in the to-be-annotated medical image, and annotating a lesion type of the lesion area, to enable the to-be-annotated medical image to be annotated with the lesion area and the lesion type of the lesion area; and splitting the framed lesion area from the to-be-annotated medical image with the framed lesion area to form a split image of the to-be-annotated medical image, to enable the to-be-annotated medical image to be annotated with the split image.

Abstract: An image processing method is provided, including: obtaining image data of a cavity wall of an organ; unfolding the cavity wall; and generating an image of the unfolded cavity wall. The unfolding of the cavity wall may include: obtaining a mask and a centerline of the organ; obtaining a connected region of the mask; dividing the connected region into at least one equidistant block; determining an orientation of the equidistant block in a three-dimensional coordinate system including a first direction, a second direction and a third direction; determining an initial normal vector and an initial tangent vector of a center point of the centerline; assigning a projection of the initial normal vector to a normal vector of a light direction of the center point; assigning the third direction or an reverse direction of the third direction to a tangent vector of the light direction of the center point.

Abstract: The present invention relates to a system and method for image processing. An image data processing system is disclosed comprising an image cutting engine for image cutting based on image data; a region of interest processing engine for selecting at least a rendering method for a region of interest; a processing engine for adjusting sampling rate; and rendering engine for rendering the image, with the rendering method selected by the region of interest processing engine. More particularly, the present invention relates to image processing techniques that perform image manipulation, volume rendering, displaying targeted regions of interest and other related functions.

Abstract: The present application discloses an image processing method and a system thereof. The method and the system may transform a list of color table adjustment parameters into one or more preset texture models, and associate a particular texture model with a particular image through an interactive mode. The method may include: obtaining an image including at least one pixel or voxel, obtaining a texture model, associating the image with the texture model; determining an output color of the at least one pixel or voxel based on the texture model associated with the image; and generating an output image based on the output color. The image processing method and system thereof provided by the present application may effectively improve the adjustment efficiency of the image display effect and the interaction experience.

Abstract: Methods and systems for detecting and defeating a low and slow application DDoS attack, comprising: computing the Entropy of a plurality of detectors, at least in part selected from a group Geo detector, a group response size detector, a group preference detector, and an individual client behavior detector, wherein the plurality of detectors each describe a feature of traffic affected by the DDoS attack; composing the plurality of detectors on one or more of a Receiver Operating Characteristic (ROC) curve basis and a correlation basis; and implementing a countermeasure to mitigate the DDoS attack.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for acquiring information. A specific embodiment of the method includes: acquiring a fundus image; introducing the fundus image into a pre-trained disease grading model to obtain disease grading information, the disease grading model being used for extracting characteristic information from a lesion image included in the fundus image, and generating disease grading information based on the extracted characteristic information, the disease grading information including rade information of a disease, a lesion type, a lesion location, and a number of lesions included by the disease; and constructing output information using the disease grading information. This embodiment improves the accuracy of grading information.

Abstract: The present disclosure discloses a method and apparatus for acquiring information. An implementation of the method comprises: acquiring a fundus image; introducing the fundus image into a pre-trained pathological classification model to obtain pathological classification information, wherein the pathological classification model is used for characterizing correspondence between a pathological area image contained from the fundus image and the pathological classification information, and the pathological classification information comprises at least one of diabetic retinopathy classification information and diabetic macular edema classification information; and establishing output information based on the pathological classification information.