G06F16/50

Systems and methods for the generation, administration and analysis of click testing

Systems and methods for generating, administering and analyzing a click test study are provided. This includes uploading a static image and selecting portions of the static image as answers. The study author also generates a prompt for a participant, which is then presented, along with the static image. The participant then clicks with a cursor, or other selection mechanism, and the selection location(s) are recorded. Delay between the prompt display and the click is measuring in some embodiments. The recorded clicks are used to generate a heat map when aggregated with the results of other users. Likewise, the at least one click location may be compared to the selected portions to generate success metrics. In addition to the regular heat map, a high-contrast negative image heat map may likewise be generated.

Systems and methods for the generation, administration and analysis of click testing

Systems and methods for generating, administering and analyzing a click test study are provided. This includes uploading a static image and selecting portions of the static image as answers. The study author also generates a prompt for a participant, which is then presented, along with the static image. The participant then clicks with a cursor, or other selection mechanism, and the selection location(s) are recorded. Delay between the prompt display and the click is measuring in some embodiments. The recorded clicks are used to generate a heat map when aggregated with the results of other users. Likewise, the at least one click location may be compared to the selected portions to generate success metrics. In addition to the regular heat map, a high-contrast negative image heat map may likewise be generated.

Simulating a Target Coverage for Deep Brain Stimulation
20230099535 · 2023-03-30 ·

A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Simulating a Target Coverage for Deep Brain Stimulation
20230099535 · 2023-03-30 ·

A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Suggested actions for images

Implementations relate to causing a command to be executed based on an image. In some implementations, a computer-implemented method includes obtaining and programmatically analyzing an image to determine suggested actions. The method causes a user interface to be displayed that includes user interface elements corresponding to default actions, and to suggested actions that are determined based on analyzing the image. The method receives user input indicative of selection of a particular action from the default actions and the suggested actions. The method causes a command to be executed by a computing device for the particular action that was selected.

Suggested actions for images

Implementations relate to causing a command to be executed based on an image. In some implementations, a computer-implemented method includes obtaining and programmatically analyzing an image to determine suggested actions. The method causes a user interface to be displayed that includes user interface elements corresponding to default actions, and to suggested actions that are determined based on analyzing the image. The method receives user input indicative of selection of a particular action from the default actions and the suggested actions. The method causes a command to be executed by a computing device for the particular action that was selected.

System and method for generating and editing diagnosis reports based on medical images

Embodiments of the disclosure provide systems and methods for generating a report based on a medical image of a patient. An exemplary system includes a communication interface configured to receive the medical image acquired by an image acquisition device. The system may further include at least one processor. The at least one processor is configured to automatically determine keywords from a natural language description of the medical image generated by applying a learning network to the medical image. The at least one processor is further configured to generate the report describing the medical image of the patient based on the keywords. The at least one processor is also configured to provide the report for display.

System and method for generating and editing diagnosis reports based on medical images

Embodiments of the disclosure provide systems and methods for generating a report based on a medical image of a patient. An exemplary system includes a communication interface configured to receive the medical image acquired by an image acquisition device. The system may further include at least one processor. The at least one processor is configured to automatically determine keywords from a natural language description of the medical image generated by applying a learning network to the medical image. The at least one processor is further configured to generate the report describing the medical image of the patient based on the keywords. The at least one processor is also configured to provide the report for display.

Image search method, apparatus, and device

Embodiments of the specification provide an image search method, an apparatus, and a device. The method includes: obtaining an input image associated with an image search, wherein the input image includes a plurality of first text blocks; selecting a to-be-processed image from a target database, wherein the to-be-processed image includes a plurality of second text blocks; and generating a first graph structural feature based on the plurality of first text blocks; generating a second graph structural feature based on the plurality of second text blocks; determining that the first graph structural feature and the second graph structural feature satisfy a condition; and in response to determining that the first graph structural feature and the second graph structural feature satisfy the condition, outputting the to-be-processed image as a search result.

DEFECT DETECTION FOR MULTI-DIE MASKS
20230098730 · 2023-03-30 ·

Methods and systems for detecting defects on a mask are provided. One method includes generating a database reference image for a multi-die mask by simulation and detecting first defects on the mask by comparing the database reference image to images of the mask generated by an imaging subsystem for a first of the multiple dies. The method also includes generating a die reference image for the first of the multiple dies by applying one or more parameters of the imaging subsystem learned by generating the database reference image to the images generated by the imaging subsystem of one or more of the multiple dies other than the first multiple die. In addition, the method includes detecting second defects on the mask by comparing the die reference image to the images of the mask generated by the imaging subsystem for the first of the multiple dies.