An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: derive, for each of predetermined property items, property information indicating a property of the property item from at least one image; receive, for each of the property items, a description regarding the property item to be selectable as to whether the description is necessary, unnecessary, or optional in a document; and generate a plurality of character string candidates including the description based on the property information regarding the property items that have been selected as the descriptions being necessary and optional by changing a combination of property items selected from among the property items that have been selected as the description being optional.

A method for recording and processing image sensor data of an examination object that can be created by a medical imaging system, having the following steps: recording image sensor raw data of the examination object by way of an image detector of the imaging system, processing the image sensor raw data, wherein from the image sensor raw data, two resultant image datasets of the same examination object differing with regard to the image quality are created, wherein the image quality of a first resultant image dataset is configured for a human perception and the image quality of a second resultant image dataset is configured for a further processing by machine, and outputting the first resultant image dataset to a display unit and passing on the second resultant image dataset to an interface for further processing by machine.

Computer vision systems and methods for generating building models using three-dimensional sensing and augmented reality (AR) techniques are provided. Image frames including images of a structure to be modeled are captured by a camera of a mobile device such as a smart phone, as well as three-dimensional data corresponding to the image frames. An object of interest, such as a structural feature of the building, is detected using both the image frames and the three-dimensional data. An AR icon is determined based upon the type of object detected, and is displayed on the mobile device superimposed on the image frames. The user can manipulate the AR icon to better fit or match the object of interest in the image frames, and can capture the object of interest using a capture icon displayed on the display of the mobile device.

A system and method for analyzing images to optimize orthopedic functionality at a site within a patient, including obtaining at least a first, reference image of the site, or a corresponding contralateral site, the first image including at least a first anatomical region or a corresponding anatomical region. At least a second, intra-operative results image of the site is obtained. At least one point is selected to serve as a reference for both images during analysis including at least one of scaling, calculations, and image comparisons.

Described is method for segmenting measurement data from a measurement of an object having at least one material transition region, the measurement data generating a digital object representation having the at least one material transition region and comprising pieces of spatially-resolved image information of the object. The method comprises: determining the measurement data comprising at least one artefact; determining at least two homogeneous regions in the measurement data and/or in the digital object representation; analysing a local similarity of pieces of spatially resolved image information; adjusting an extent of each homogeneous region until at least one boundary region of each homogeneous region is located at an expected position of a material transition region; segmenting the digital object representation based on the adjusted homogeneous regions. The method improves segmenting measurement data from a measurement of an object having poor data quality, while correctly detecting material transitions from the measurement data.

The tooth segmentation apparatus detects a boundary box of each tooth from dental scan data in a form of a mesh, sets a boundary condition from the boundary box of each tooth, and segments a tooth region of each tooth in the dental scan data based on the boundary condition of each tooth.

In learning processing performed before sample observation processing (steps S705 to S708), the sample observation device acquires a low-picture quality learning image under a first imaging condition for each defect position indicated by defect position information, determines an imaging count of a plurality of high-picture quality learning images associated with the low-picture quality learning image for each defect position and a plurality of imaging points based on a set value of the imaging count, acquires the plurality of high-picture quality learning images under a second imaging condition (step S702), learns a high-picture quality image estimation model using the low-picture quality learning image and the plurality of high-picture quality learning images (step S703), and adjusts a parameter related to the defect detection in the sample observation processing using the high-picture quality image estimation model (step S704).

The present disclosure relates to a dimension measuring device that shortens a time required for dimension measurement and eliminates errors caused by an operator. A dimension measuring device that measures a dimension of a measurement target using an input image is provided, in which a first image in which each region of the input image is labeled by region is generated by machine learning, an intermediate image including a marker indicating each region of the first image is generated based on the generated first image, a second image in which each region of the input image is labeled by region is generated based on the input image and the generated intermediate image, coordinates of a boundary line between adjacent regions are obtained by using the generated second image, coordinates of a feature point that defines a dimension condition of the measurement target are obtained by using the obtained coordinates of the boundary line, and the dimension of the measurement target is measured by using the obtained coordinates of the feature point.

The problem to be solved is to utilize an analysis result of a medical image that uses post-processing function to achieve a higher diagnosis accuracy. The medical image processing apparatus according to the present embodiment includes an acquirer that acquires a first medical image information which is a result of an external processing performed on a second medical information including a medical image, a receiver that receives a selected action for the first medical image information, and a register that associates and registers an action information about the selected action for the first medical image information with the first medical image information.

A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator component (126) configured to determine a fractional flow reserve value via simulation and a traffic light engine (128) configured to track a user-interaction with the computing system at one or more points of the simulation to determine the fractional flow reserve value. A processor (120) is configured to execute the biophysical simulator component to determine the fractional flow reserve value and configured to execute the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and provide a warning in response to determining there is a potential incorrect interaction. A display is configured to display the warning requesting verification to proceed with the simulation from the point, wherein the simulation is resumed only in response to the processor receiving the requested verification.