Abstract: This disclosure discloses a media content favoriting method and apparatus, electronic device, and computer-readable storage medium, relating to the field of media content display interaction. The media content favoriting method includes: playing first media content by a playing control in an interactive interface; displaying a media content favoriting control which comprises a first input area and a media information display area of second media content, the second media content corresponding to a first segment between a first time point of the first media content and a second time point of the first media content, and a duration of the first segment being less than a duration of the first media content; and performing a favoriting operation on the second media content in response to detecting an input signal from the first input area.

Abstract: Embodiments of the present disclosed provides an interaction method and device, a storage medium, and a computer program product, including displaying an input control during a process of playing a first media content through a playback control in an interaction interface; obtaining input information of a current user from the input control; displaying the input information and associated information of the input information; and judging whether the input information and the associated information meet a preset condition, and displaying a second media content based on a result of the judging.

Abstract: A support interaction method and an electronic device are provided. The method comprises: displaying a playing interface of a video program in an application program; after a first object in the video program appears in the playing interface, displaying a first component, wherein the first component is used for supporting the first object within a first time period, and the first time period is a time period within which the first object played on the playing interface appears in the video program; within the first time period, receiving a first operation executed by a user on the first component; and in response to receiving the first operation, displaying, in the first component, the number of supports from the user for the first object.

Abstract: Disclosed are methods, systems, and a device for automated interpretation of cardiac magnetic resonance imaging. A method includes acquiring a sequence of radiographic images of a heart, including at least one of: a cine MRI, a late gadolinium enhancement, a T1 mapping, a T2 mapping, a perfusion imaging, a flow quantification, a dark blood imaging, a real-time imaging, a magnetic resonance spectroscopy, or a parametric mapping sequence. Further, the method processes the sequence of radiographic images using one or more machine learning models. Additionally, the method generates a diagnostic prediction using the machine learning models. The diagnostic prediction is a screening prediction of a cardiac anatomy, a diagnostic suggestion of a cardiovascular condition, a quantitative assessment of a cardiac function parameter, a structured radiographic report, a natural language summary, or a diagnostic rationale. A diagnostic prediction is output to an electronic system.

Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.

Abstract: This disclosure discloses a media content favoriting method and apparatus, electronic device, and computer-readable storage medium, relating to the field of media content display interaction. The media content favoriting method includes: playing first media content by a playing control in an interactive interface; displaying a media content favoriting control which comprises a first input area and a media information display area of second media content, the second media content corresponding to a first segment between a first time point of the first media content and a second time point of the first media content, and a duration of the first segment being less than a duration of the first media content; and performing a favoriting operation on the second media content in response to detecting an input signal from the first input area.

Abstract: Embodiments of the present disclosed provides an interaction method and device, a storage medium, and a computer program product, including displaying an input control during a process of playing a first media content through a playback control in an interaction interface; obtaining input information of a current user from the input control; displaying the input information and associated information of the input information; and judging whether the input information and the associated information meet a preset condition, and displaying a second media content based on a result of the judging.

Abstract: A support interaction method and an electronic device are provided. The method comprises: displaying a playing interface of a video program in an application program; after a first object in the video program appears in the playing interface, displaying a first component, wherein the first component is used for supporting the first object within a first time period, and the first time period is a time period within which the first object played on the playing interface appears in the video program; within the first time period, receiving a first operation executed by a user on the first component; and in response to receiving the first operation, displaying, in the first component, the number of supports from the user for the first object.

Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.

Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.

Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.

Abstract: A modulated segmentation system can use a modulator network to emphasize spatial prior data of an object to track the object across multiple images. The modulated segmentation system can use a segmentation network that receives spatial prior data as intermediate data that improves segmentation accuracy. The segmentation network can further receive visual guide information from a visual guide network to increase tracking accuracy via segmentation.