Abstract: This irradiation position verification assisting device includes an acquisition unit that acquires a first medical image of the inside of a subject's body, a second medical image of the inside of the subject's body captured after the first medical image has been captured, and a third medical image of the inside of the subject's body captured after the second medical image has been captured; a region analysis unit that analyzes a region contained in the first medical image; an association analysis unit that calculates first change information indicating a change related to the same tissue by aligning the first medical image with the second medical image, and transforms the region analysis result based on the first change information to output the transformed region analysis result; and a generation unit that superimposes the transformed region analysis result on the third medical image to generate a superimposed image.

Abstract: A medical image processing apparatus and a medical image processing method that can improve extraction accuracy of a tumor region included in a diagnosis target image are provided. The medical image processing apparatus configured to extract a predetermined region from a diagnosis target image includes: an organ extraction unit configured to extract an organ region from the diagnosis target image; and a tumor extraction unit generated by executing machine learning using a known tumor region included in each medical image group as teacher data and using an organ region extracted from the medical image group and the medical image group as input data. The tumor extraction unit is configured to extract a tumor region from the diagnosis target image using the organ region extracted from the diagnosis target image by the organ extraction unit.

Abstract: A server inputs an input data set into a similarity calculation model, calculates a first similarity between the input data set and learning data sets, each client terminal inputs a data sample to the similarity calculation model to calculate a second similarity between the data sample and the learning data sets, executes a similarity calculation between the first and second similarity and outputs a learning weight, learns a first analysis model that calculates a predicted value of the first objective variable from the first explanatory variable for the input data set based on the first analysis model, the first explanatory variable and the first objective variable of the learning data set, and the learning weight, and transmits a first learning result. The server generates a second analysis model that integrates the first learning result and calculates a predicted value of the first objective variable from the first explanatory variable.

Abstract: Provided are a medical image processing apparatus and a medical image processing method capable of implementing specialized learning with higher accuracy in a case where the specialized learning is performed on a plurality of conventional features based on knowledge of a doctor. An image processing apparatus according to the present invention includes: an image group conversion unit that calculates a value of a predetermined feature (first feature) for each image constituting an input first image group, selects an image from the first image group on the basis of the value of the feature, and sets the image as an image of a second image group; and a feature extraction unit that extracts a new feature (second feature) by performing learning on the second image group generated by the image group conversion unit using a feature generation network.

Abstract: An integration device performs a reception process of receiving a knowledge coefficient relating to first training data in a first prediction model of a first training device from the first training device, a transmission process of transmitting the first prediction model and data relating to the knowledge coefficients of the first training data received in the reception process respectively to a plurality of second training devices, and an integration process of generating an integrated prediction model by integrating a model parameter in a second prediction model generated by training the first prediction model with second training data and the data relating to the knowledge coefficients respectively by the plurality of second training devices, as a result of transmission in the transmission process

Abstract: A medical image processing apparatus and a medical image processing method that can improve extraction accuracy of a tumor region included in a diagnosis target image are provided. The medical image processing apparatus configured to extract a predetermined region from a diagnosis target image includes: an organ extraction unit configured to extract an organ region from the diagnosis target image; and a tumor extraction unit generated by executing machine learning using a known tumor region included in each medical image group as teacher data and using an organ region extracted from the medical image group and the medical image group as input data. The tumor extraction unit is configured to extract a tumor region from the diagnosis target image using the organ region extracted from the diagnosis target image by the organ extraction unit.

Abstract: A computer configured to perform image processing to detect an object from an image, comprising: an arithmetic device; and a storage device coupled to the arithmetic device, having a model information database to store a plurality of pieces of model information, model information defines a model to realize the image processing, and the arithmetic device being configured to: perform an identification process to detect the object from an evaluation image based on each of the plurality of pieces of model information in a case where the evaluation image is input; and integrate a plurality of output results each of which obtained by the identification process based on each of the plurality of pieces of model information, thereby outputting a detection result of the object.

Abstract: An image processing device and an image processing method that performs image interpretation as fast as possible, without oversight by an interactive operation, when performing the image interpretation of a large amount of volume data in which an interest region is set in advance are provided. The image processing device that generates a two-dimensional image from a captured three-dimensional image and displays the generated two-dimensional image receives an input signal relating to primary display control information including a speed of a display control input of the two-dimensional image, calculates the primary display control information from the input signal, calculates secondary display control information including a display speed of the two-dimensional image based on information of an interest region and the primary display control information, and sequentially generates the two-dimensional images based on the secondary display control information and displays the generated two-dimensional image.

Abstract: An image processing device and an image processing method that performs image interpretation as fast as possible, without oversight by an interactive operation, when performing the image interpretation of a large amount of volume data in which an interest region is set in advance are provided. The image processing device that generates a two-dimensional image from a captured three-dimensional image and displays the generated two-dimensional image receives an input signal relating to primary display control information including a speed of a display control input of the two-dimensional image, calculates the primary display control information from the input signal, calculates secondary display control information including a display speed of the two-dimensional image based on information of an interest region and the primary display control information, and sequentially generates the two-dimensional images based on the secondary display control information and displays the generated two-dimensional image.

Abstract: An image display method and an image display apparatus to solve the three-dimensional cueing confliction problem of the maximum intensity projection in the stereoscopic display method, while enabling users to select and render with emphasis the maximum intensity projection of the objects of interest, so that to realize the stereoscopic display. A three-dimensional surface which has equal distance to a sight-point is utilized as a reference surface, and the distances from all of the local maximum intensity points to this reference surface are calculated, then a weighting factor of each local maximum intensity point is calculated according to the distances and predetermined weighting function. After, the values of local maximum intensity points are adjusted according to the obtained weighting factors, and finally, the maximum intensity projection value is produced by synthesizing all of the adjusted values of the local maximum intensity points.

Abstract: In the present invention, when a 3D medical image is displayed on a 3D display, the position of accompanying information displayed at the same time is appropriately controlled. The position of the accompanying information in the coordinate system of a 3D signal value that is an item to be drawn is computed, and said position is saved in a storage unit.

Abstract: An image processing device includes an extraction process executing unit that extracts a 3-dimensional initial region satisfying a predetermined condition from the volume data, a region correction process executing unit that extracts a 3-dimensional corrected region by performing a correction process on the initial region, and a visualization process executing unit that generates a plurality of cross-sectional diagrams of the 3-dimensional image from the volume data and outputs at least some of the plurality of cross-sectional diagrams. When the initial region is displayed, one or more cross-sectional diagrams having voxels in the initial region are outputted so that the voxels included in the initial region are distinguishable from other regions. When the corrected region is displayed, one or more cross-sectional diagrams having voxels in the corrected region are outputted so that the voxels included in the corrected region are distinguishable from other regions.

Abstract: In the present invention, when a 3D medical image is displayed on a 3D display, the position of accompanying information displayed at the same time is appropriately controlled. The position of the accompanying information in the coordinate system of a 3D signal value that is an item to be drawn is computed, and said position is saved in a storage unit.

Abstract: It is necessary to provide a technology for simply and efficiently performing manual adjustment on a 3-dimensional region of interest automatically extracted from volume data. An image processing device includes an extraction process executing unit that extracts a 3-dimensional initial region satisfying a predetermined condition from the volume data; a region correction process executing unit that extracts a 3-dimensional corrected region by performing a correction process on the initial region; and a visualization process executing unit that generates a plurality of cross-sectional diagrams of the 3-dimensional image from the volume data and outputs at least some of the plurality of cross-sectional diagrams.

Abstract: Provided is an image processing apparatus that automatically recognizes a plurality of organs to subsequently visualize the automatic recognition results in an easy-to-understand manner, and facilitate a modification of the displayed recognition results. The image processing apparatus (23) uses an image processing algorithm to perform an image processing of medical image volume data. The image processing apparatus (23) comprises an organ recognition algorithm executing unit (11) that applies an organ recognition algorithm to medical image volume data to generate and output, as an organ recognition result, structural information on the plurality of organs, and a recognition result displaying unit (32) that displays the organ recognition result.

Abstract: The present invention provides an image display method and an image display apparatus, which solve the three-dimensional cueing confliction problem of the maximum intensity projection in the stereoscopic display method, while enabling users to select and render with emphasis the maximum intensity projection of the objects of interest, so that to realize the stereoscopic display.

Abstract: A medical image display device 20 of the present invention includes: a storage unit 34 that saves medical images, ROI information indicating the position of a three-dimensional region in the medical images, and diagnostic information corresponding to the ROI information; and a control unit that stores, for each of the multiple diagnostic information when the multiple diagnostic information exist for the single medical image, a parameter setting used for displaying the medical image at the time each of the diagnostic information is imparted by a user, and a severity indicating the priority of the parameter setting to be used when displaying the medical image on a display unit, in the storage unit 34 in association with each other.

Abstract: Provided is an image processing apparatus that automatically recognizes a plurality of organs to subsequently visualize the automatic recognition results in an easy-to-understand manner, and facilitate a modification of the displayed recognition results. The image processing apparatus (23) uses an image processing algorithm to perform an image processing of medical image volume data. The image processing apparatus (23) comprises an organ recognition algorithm executing unit (11) that applies an organ recognition algorithm to medical image volume data to generate and output, as an organ recognition result, structural information on the plurality of organs, and a recognition result displaying unit (32) that displays the organ recognition result.

Abstract: The present invention proposes an image processing method and an image processing apparatus, in which an object of interest is selected in a three-dimensional scene by using information on a section parallel to a sight line, and a surface is generated to divide the line of sight passing through the object into two parts, so as to display the user-interested object through an opaque area by establishing different rendering parameters for the two parts of the sight line.