Abstract:
This application discloses a method for determining a lesion region, and a model training method and apparatus, and relates to the field of computer vision technologies. The method includes the following steps: sampling a pathological image by a first sampling way to obtain at least two first instance images (310); determining a candidate lesion region in the pathological image, based on feature information extracted from the at least two first instance images (320); sampling the candidate lesion region by a second sampling way to obtain at least two second instance images, where an overlap degree between the second instance images is greater than that between the first instance images (330); and determining lesion indication information of the pathological image, based on feature information extracted from the at least two second instance images, where the lesion indication information is used for indicating the lesion region in the pathological image (340). In this application, the consumption of human resources is reduced, and costs required to determine the lesion region are saved.
Abstract:
A method for generating a special effect for social networking interaction in a virtual environment of a game is performed by an electronic device. The method includes: displaying an object presentation interface of a target battle of the game when loading a virtual scene corresponding to the target battle, the object presentation interface being used for displaying a plurality of virtual objects participating in the target battle; receiving a special effect generating instruction for a first virtual object of the plurality of virtual objects, the special effect generating instruction being used for instructing to generate a special effect based on the first virtual object, and the first virtual object corresponding to a user of the electronic device triggering the special effect; and generating the special effect identifying the first virtual object in the object presentation interface.
Abstract:
This application discloses an information filtering method and an information processing apparatus. Shared information that is shared by a user account of an online service is obtained. A credibility reference rating associated with the user account is obtained. The credibility reference rating indicates account credibility of the user account. Whether the shared information satisfies a filtering condition is determined based on the credibility reference rating. Further, the shared information is filtered when the shared information is determined to satisfy the filtering condition.
Abstract:
A method for aggregating messages based on a point of interest is provided, the method including: acquiring an instruction to trigger a point of interest; acquiring a region unit in which the point of interest is located from an electronic map which is divided into a plurality of region units in advance, and acquiring a predetermined number of region units including the region unit in which the point of interest is located by taking the region unit in which the point of interest is located as a center; acquiring messages issued within the predetermined number of region units; and generating a message aggregating page including a map indicative of the point of interest based on the acquired messages and displaying the acquired messages on the message aggregating page. A system for aggregating messages based on a point of interest is also provided.
Abstract:
The disclosure provides an image processing method and apparatus. The method may include acquiring a target image having at least two division regions. The division region includes an annotation point, and the annotation point is corresponding to a target segmentation object. The method may further include performing iterative expansion on the annotation points to obtain an iterative expansion region. The method may further include determining a first loss result between the iterative expansion region and the division region and a second loss result between the iterative expansion region and the annotation point. The method may further include, when the first loss result and the second loss result meeting a termination condition, stopping the iterative expansion to obtain a resulting iterative expansion region. The method may further include determining the resulting iterative expansion region as a region where the target segmentation object is located in the target image.
Abstract:
An image processing method includes: obtaining DCE magnetic resonance images corresponding to a plurality of time points for a same detection target; determining average pixel grayscale values of images of a same lesion region in the DCE magnetic resonance images of the plurality of time points respectively; determining a time to peak according to the average pixel grayscale values corresponding to the plurality of time points; and generating a first-stage time-intensity image before the time to peak and a second-stage time-intensity image after the time to peak respectively according to the DCE magnetic resonance images and the time to peak. The first-stage time-intensity image and the second-stage time-intensity image are 3D images. A pixel grayscale value of each pixel in the first-stage time-intensity image and the second-stage time-intensity image represents a change rate of blood supply intensity and reflects a severity level of a lesion corresponding to the lesion region.
Abstract:
A card use system includes a first client configured to send a card use request including card information of a card, and display a payment code including a first resource account number corresponding to the first client; a second client configured to send a payment request to transfer a first quantity of resources from the first resource account number to a second resource account number corresponding to the second client; a card server configured to validate the card according to the card information; and in response to successfully validating the card, send a confirmation indication to the payment server; and a payment server configured to, in response to receiving the confirmation indication from the card server, transfer a second quantity of resources in the first resource account number corresponding to the first client to the second resource account number corresponding to the second client.
Abstract:
Embodiments of this application disclose methods, systems, and devices for image region localization and medical image processing. In one aspect, a method comprises acquiring three-dimensional images of a target body part of a patient. The three-dimensional images comprise a plurality of magnetic resonant imaging (MRI) modalities. The method comprises registering a first image set of a first modality with a second image set of a second modality. After the registering, image features of the three-dimensional images are extracted. The image features are fused to obtain fused features. The method also comprises determining voxel types corresponding to voxels in the three-dimensional images according to the fused features. The method also comprises selecting, from the three-dimensional images, target voxels having a preset voxel type, obtaining position information of the target voxels, and localizing a target region within the target body part based on the position information of the target voxels.
Abstract:
A method including generating, by a terminal, a creation request containing game information, sending, by the terminal, the creation request to a game server, receiving, by the terminal, a graphic information code generated by a management server according to the game information, and displaying the graphic information code on the terminal.
Abstract:
This application provides a pathological section image processing method performed by a computer device. The method includes: obtaining stained images of a pathological section after cell membrane staining; determining cell nucleus positions of cancer cells in a stained image under an ith field of view in the n fields of view; generating a cell membrane description result of the stained image under the ith field of view, the cell membrane description result being used for indicating completeness and staining intensity of the cell membrane staining; determining quantities of cells of types in the stained image under the ith field of view according to the cell nucleus positions and the cell membrane description result; and determining an analysis result of the pathological section according to quantities of the cells of types in the stained images under the n fields of view.