Abstract: A feature information acquisition unit acquires the first feature information on the first medical image and second feature information on the second medical image having an imaging time different from an imaging time of the first medical image. A sentence creation unit compares the first feature information and the second feature information generated by the feature information acquisition unit, and creates a sentence representing a change between the first medical image and the second medical image. A display control unit causes the display unit to display a sentence representing a change.

Abstract: Provided is at least one processor, and the processor is configured to analyze an image to derive property information indicating a property of a structure of interest included in the image, generate a sentence related to the image based on the property information, analyze the sentence to specify a term representing the property related to the structure of interest included in the sentence, and collate the property information with the term.

Abstract: A processor acquires one or more analysis results related to a medical image of a patient, acquires diagnostic information related to a diagnosis of the patient other than the analysis results, and generates a medical sentence related to the patient based on the analysis results and the diagnostic information.

Abstract: A document creation support apparatus includes at least one processor, and the processor specifies, with respect to a first region specified in a first image of a subject, a second region corresponding to the first region in each of a plurality of second images of the subject whose imaging time is different from that of the first image. The processor specifies a second description regarding the specified second region, which is included in a plurality of sentences related to each of the plurality of second images. The processor displays a plurality of second descriptions specified for each of the plurality of second images in a switchable manner.

Abstract: 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.

Abstract: Provided is at least one processor, and the processor is configured to analyze an image to derive property information indicating a property of a structure of interest included in the image, generate a sentence related to the image based on the property information, analyze the sentence to specify a term representing the property related to the structure of interest included in the sentence, and collate the property information with the term.

Abstract: In a case where feature information including a feature vector of a target medical image is input, a document creation unit selects at least one expression vector according to the feature information including the feature vector of the target medical image from a plurality of expression vectors. Then, the feature vector of the target medical image and the selected at least one expression vector are input to a trained model to create at least one medical document including the features related to the target medical image.

Abstract: A finding detection unit detects a plurality of findings indicating features related to abnormal shadows included in a medical image. A finding specification unit specifies at least one finding used for generating a medical document among the plurality of findings. A document creation unit creates the medical document by using the specified finding.

Abstract: A feature information acquisition unit acquires the first feature information on the first medical image and second feature information on the second medical image having an imaging time different from an imaging time of the first medical image. A sentence creation unit compares the first feature information and the second feature information generated by the feature information acquisition unit, and creates a sentence representing a change between the first medical image and the second medical image. A display control unit causes the display unit to display a sentence representing a change.

Abstract: A character information acquisition unit acquires character information relevant to a medical image group including a plurality of medical images. An image character information conversion unit converts each of the plurality of medical images into image character information corresponding to each medical image. A specifying unit specifies at least one relevant medical image, which is relevant to an interpretation report that is character information, from the plurality of medical images by comparing the image character information corresponding to each of the plurality of medical images with the interpretation report.

Abstract: An input receiving unit receives an input of a keyword indicating the findings based on a displayed medical image. An analysis result acquisition unit acquires an analysis result of the medical image. A document creation unit creates a medical document relevant to the medical image based on the keyword and the analysis result.

Abstract: Provided are an image evaluation system, as well as an image evaluation method, and recording medium storing an image evaluation program, in which when an image is selected from among multiple images, images are evaluated in such a manner that an image such as a scenic image or still-life image will be selected with little image bias. To achieve this, an individual image composition/subject matrix is found, the matrix comprising types of composition and types of subject included in an image. A total image composition/subject matrix is obtained by adding individual image composition/subject matrices regarding respective ones of multiple images. A composition evaluation matrix and a subject evaluation matrix are found from the total image composition/subject matrix. Image evaluation values regarding respective ones of the multiple images are calculated from a matrix product of the individual image composition/subject matrix, composition evaluation matrix and subject evaluation matrix.

Abstract: In an image processing apparatus, an image acquiring section acquires one or more images. An image analysis information acquiring section acquires image analysis information on each of the one or more images. A theme determining section determines a main theme representing a theme of each group of images related to each other among the one or more images and a subtheme representing a theme of each of the one or more images based on information on photography tendencies of images associated with each of one or more themes and the image analysis information on each of the one or more images. A theme information output section outputs information on the main theme and information on the subtheme.

Abstract: Provided are an image evaluation system, as well as an image evaluation method, and recording medium storing an image evaluation program, in which when an image is selected from among multiple images, images are evaluated in such a manner that an image such as a scenic image or still-life image will be selected with little image bias. To achieve this, an individual image composition/subject matrix is found, the matrix comprising types of composition and types of subject included in an image. A total image composition/subject matrix is obtained by adding individual image composition/subject matrices regarding respective ones of multiple images. A composition evaluation matrix and a subject evaluation matrix are found from the total image composition/subject matrix. Image evaluation values regarding respective ones of the multiple images are calculated from a matrix product of the individual image composition/subject matrix, composition evaluation matrix and subject evaluation matrix.

Abstract: An image allocation device and an image allocation method are provided which are capable of calculating image characteristic quantities of a plurality of image data corresponding to a plurality of images, classifying the plurality of image data into image groups, whose number corresponds with the number of pages of display pages, based on the image characteristic quantities, and changing the sequence of the image groups according to the distances between the image groups as determined by the image characteristic quantities.

Abstract: An image processing device and the like capable of reducing a retrieval time of a moving image corresponding to a captured image and enhancing retrieval accuracy thereof are provided. In the image processing device, an outline identification section identifies an outline of each still image included in a captured image acquired by capturing an output image of a composite image. A layout structure analysis section analyzes a layout structure of the plural still images included in the captured image based on information about each outline. A moving image specifying section that retrieves association information including a layout structure corresponding to the layout structure of the plural still images included in the captured image, from plural pieces of association information of composite images stored in a storage section, detects the result as first association information, and specifies each moving image associated with each still image included in the first association information.

Abstract: An image layout generating apparatus includes: a first image arranging unit for extracting a first piece of image data from a plurality of image data, and arrange a first image; an image data extracting unit for extracting a new piece of image data; an arranged image selecting unit configured to calculate an inter-image distance between the new piece of image data and image data of each arranged image, and select one of the arranged images; a second image arranging unit configured to arrange a new image to be above, below, left, or right of the selected arranged image by adjusting a size while maintaining an aspect ratio of the new image; and a size adjusting unit configured to adjust the sizes while maintaining the aspect ratios of all the arranged images so as to configure one set of images in which all of the arranged images overall form a rectangle.

Abstract: An image layout generating apparatus includes: a first image arranging unit for extracting a first piece of image data from a plurality of image data, and arrange a first image; an image data extracting unit for extracting a new piece of image data; an arranged image selecting unit configured to calculate an inter-image distance between the new piece of image data and image data of each arranged image, and select one of the arranged images; a second image arranging unit configured to arrange a new image to be above, below, left, or right of the selected arranged image by adjusting a size while maintaining an aspect ratio of the new image; and a size adjusting unit configured to adjust the sizes while maintaining the aspect ratios of all the arranged images so as to configure one set of images in which all of the arranged images overall form a rectangle.

Abstract: An image allocation device and an image allocation method are provided which are capable of calculating image characteristic quantities of a plurality of image data corresponding to a plurality of images, classifying the plurality of image data into image groups, whose number corresponds with the number of pages of display pages, based on the image characteristic quantities, and changing the sequence of the image groups according to the distances between the image groups as determined by the image characteristic quantities.

Abstract: In an image processing apparatus, an image acquiring section acquires one or more images. An image analysis information acquiring section acquires image analysis information on each of the one or more images. A theme determining section determines a main theme representing a theme of each group of images related to each other among the one or more images and a subtheme representing a theme of each of the one or more images based on information on photography tendencies of images associated with each of one or more themes and the image analysis information on each of the one or more images. A theme information output section outputs information on the main theme and information on the subtheme.