Abstract: A display window is displayed on a display of an information terminal, the display window including a first display area that displays similar medical images received from a case retrieval system and an instruction function that changes the display number of the similar medical images displayed in the first display area. If an instruction by the instruction function is detected, the display size of an individual area for displaying each of the similar medical images is changed while the display size of a sick portion of each of the similar medical images the same size, and hence the display number of the similar medical images displayed in the first display area is changed.

Abstract: A transfer learning apparatus includes a transfer target data evaluator and an output layer adjuster. The transfer target data evaluator inputs a plurality of labeled transfer target data items each assigned a label of a corresponding evaluation item from among one or more evaluation items to a neural network apparatus having been trained by using a plurality of labeled transfer source data items and including in an output layer output units, the number of which is larger than or equal to the number of evaluation items, and obtains evaluation values output from the respective output units. The output layer adjuster preferentially assigns, to each of the one or more evaluation items, an output unit from which the evaluation value having the smallest difference from the label of the evaluation item is obtained with a higher frequency, as an output unit that outputs the evaluation value of the evaluation item.

Abstract: An image processing apparatus including: an examination image obtaining unit obtaining an examination image of an examination subject; a shift-invariant feature quantity calculating unit calculating, for each pixel, a shift-invariant feature quantity represented by predetermined base vectors, from the examination image obtained by the examination image obtaining unit; a selecting unit selecting, on the examination image, a pixel having a matching degree lower than or equal to a predetermined threshold, between (i) a relative positional relationship of classes in normal images each of which does not include a lesion site and (ii) a relative positional relationship of the classes to which shift-invariant feature quantities respectively belong in the examination image, the classes being obtained by clustering the shift-invariant feature quantities: calculated from pixels included in the normal images; and represented by the predetermined base vectors; and an output unit outputting a result of the selection perfo

Abstract: A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

Abstract: A display screen including a first display area displaying plural similar medical images received from a case search system and a second display area displaying disease names is displayed on a display of an information terminal. Each similar medical image is a medical image contained in an electronic medical book, and has additional information which includes the number of a page containing the similar medical image. If the user's selection of a similar medical image is detected for the first time after the display of the display screen, a page of an electronic medical book containing the selected similar medical image is displayed on the display screen. If the user's selection of a disease name is detected for the first time after the display of the display screen, a page of an electronic medical book containing differential items corresponding to the selected disease name is displayed on the display screen.

Abstract: The diagnostic support apparatus includes a feature quantity calculation unit vectorizing a test image into shift-invariant feature quantities, a base representation unit transforming the shift-invariant feature quantities of the test image into a linear combination of base vectors with first coefficients, the base vectors being calculated from a plurality of vectors representing shift-invariant feature quantities of a plurality of normal structural images including no lesion site, a lesion determination unit determining that the test image includes a lesion site when a difference between the first coefficients and second coefficients is greater than a determination threshold value, the second coefficients being used to transform shift-invariant feature quantities calculated from one of the normal structural images into a linear combination of the base vectors, and an output unit outputting a result of the determination by the lesion determination unit.

Abstract: A method for controlling an information terminal causes a computer of the information terminal to receive, from a case retrieval system, a plurality of similar medical images having a feature quantity of a region of interest and a certain degree of similarity in accordance with the region of interest included in a target medical image, displays a display screen displaying the plurality of received similar medical images on a touch panel display, the display screen including a display region in which at least some of the plurality of received similar medical images are displayed, displays, if selection of a first similar medical image from among the at least some of the plurality of received similar medical images displayed in the display region is detected, the first similar medical image across the display region, and displays, if a swipe operation performed on the first similar medical image is detected, a second similar medical image, which has second highest similarity next to the first similar medical im

Abstract: Similar medical images having a predetermined similarity to a region of interest in a medical image to be interpreted are received from a case search system. A display screen on which the received similar medical images are displayed is displayed on a display. The display screen includes display frames within which similar medical images are displayed. In response to an instruction for enlarging the similar medical images, corresponding regions of interest in the similar medical images are enlarged and displayed with the sizes of the display frames maintained unchanged on the display screen. In response to an instruction for causing a selected similar medical image among the enlarged and displayed similar medical images to move within a corresponding display frame, the other unselected similar medical image(s) is caused to move within a corresponding display frame synchronously with the movement of the selected similar medical image in the same movement direction.

Abstract: A display control unit vertically divides a case display area in accordance with the number of disease names selected by a user to create a number of sub-areas equal to the number of disease names. Each of the sub-areas is vertically elongated so that thumbnail images of similar cases of the corresponding disease name are displayed so as to be aligned in a column. The display control unit displays, in each sub-area, thumbnail images of similar cases of the corresponding disease name so that the thumbnail images are aligned in a column in order of decreasing similarity to a search query image displayed in a layout area.

Abstract: A medical image managed by a medical information management system is displayed in a layout region that is displayed on a display of an information terminal, and thumbnail images of similar cases received from a case retrieval system are displayed in a case display region. In the layout region, a display box displaying a thumbnail image of a diagnosis object case and display boxes displaying thumbnail images selected from the thumbnail images displayed in the case display region are displayed adjacent to one another.

Abstract: A control method of an information terminal according to the present disclosure causes a display to display a display screen which includes a first display region displaying an object medical image and a second display region displaying M number of similar medical images. When one instruction for magnifying any one similar medical image among the M number of similar medical images is sensed, with respect to the M number of or fewer similar medical images in the M number of ranges that are displayed in the second display region upon sensing the one instruction, a corresponding region of interest in each of the M number of or fewer similar medical images is magnified so as to match a position corresponding to a center of each of individual regions in the second display region while maintaining a size of each of the individual regions at a same size.

Abstract: A similar case retrieval apparatus includes: a lesion portion acquirer that acquires partial images including lesion portion images, an image feature extractor that extracts image features of each of the plurality of partial images; a location information acquirer that acquires location information of each of the partial images; a lateral position determiner that determines the right organ or the left organ in which each of the lesion portions exists based on the location information; a unilateral distribution identifier that determines whether or not a distribution of the lesion portions is a unilateral distribution; and a similar case retriever that retrieves case data from a case database including both case data for the unilateral distribution in the right organ and case data for the unilateral distribution in the left organ when the unilateral distribution identifier identifies that the distribution of the lesion portions is the unilateral distribution.

Abstract: The determination system includes a presented-speech sound control section for determining a speech sound to be presented to a user; auditory/visual stimulation presentation sections for presenting the determined speech sound as an audio/a character; a group-wise summation section for taking a summation of an event-related potential of an electroencephalogram signal of the user for each group of speech sounds; a first determination section for, from the event-related potential having been subjected to summation for each group, making a group-by-group determination of comfortableness as to whether the user is comfortably hearing to the speech sound, to at least determine whether the user is listening to the speech sound with strife, or to determine whether the user is annoyed by the speech sound; and a second determination section for, from the event-related potential, making a speech sound-by-speech sound determination of intelligibility as to whether the user is clearly hearing the speech sound.

Abstract: A similar case search apparatus includes: a keyword extracting unit which extracts a keyword from an image interpretation report; a diagnosis tree analyzing unit which extracts, based on the keyword, one or more target diagnosis flows corresponding to the image interpretation report, by referring to a diagnosis tree storage unit storing diagnosis trees; a similar diagnosis flow extracting unit which extracts one or more diagnosis flows similar to the one or more target diagnosis flows from among the plurality of diagnosis flows included in the diagnosis trees stored in the diagnosis tree storage unit, based on the degree of difficulty regarding a diagnosis item or the degree of difficulty regarding a disease name; and a similar case searching unit which searches out one or more case data sets corresponding to the similar diagnosis flows from among a plurality of case data sets stored in a case data storage unit.

Abstract: A lesion determination apparatus includes: a number-of-images acquiring unit configured to acquire and record, on occurrence of a direction change that is either a first state in which a second operation instruction is received immediately after receipt of a first operation instruction or a second state in which the first operation instruction is received immediately after a receipt of the second operation instruction, a number of one-directionally viewed images that is either a number of tomography images continuously viewed in response to continuous first operation instructions including the first operation instruction in the first state or a number of tomography images continuously viewed in response to continuous second operation instructions including the second operation instruction in the second state; and a locality determining unit configured to determine whether the object part is a focal lesion or a diffuse lesion based on a change in the number of one-directionally viewed images.

Abstract: In an exemplary assessment system of speech sound listening, an output section presents a speech sound to a user as an auditory stimulation; a positive component determination section determines whether a positive component appears in an event-related potential of an electroencephalogram signal of the user in a range from 600-900 ms from a starting point, the starting point being a point in time at which the speech sound is presented, and outputs an assessment result as to whether the user is listening to the speech sound with strife or not; and a negative component determination section determines whether a negative component appears in the event-related potential in a range from 100-300 ms from a starting point, the starting point being the point in time at which the speech sound is presented, and outputs an assessment result as to whether the user is annoyed by the speech sound or not.

Abstract: A similar case searching apparatus includes: a search vector generating unit which: with reference to a relevance database storing the degrees of relevance between (i) a combination of the keyword extracted by the keyword extracting unit and the attribute value of the keyword obtained by the keyword attribute obtaining unit and (ii) the respective image feature quantities extracted by the image feature extracting unit, performs weighting on (i) the image feature quantities extracted by the image feature extracting unit and (ii) image feature quantities extracted from a second medical image group of medical images included in a second case data item stored in the case database, using the degrees of relevance as weights; and a similar case searching unit which searches out, from the case database, the second case data item similar to a first case data item by comparing the weighed image feature quantities (i) and (ii).

Abstract: A similar case searching apparatus comprises: an image feature extracting unit; an image interpretation item fitting degree calculating unit which calculates the fitting degree of each image feature quantity to each of image interpretation items, based on first image interpretation knowledge indicating the range of values of image feature quantities of each type; an image interpretation item selecting unit; a weight determining unit which determines the weight to each image feature quantity based on second image interpretation knowledge defining correlations between image feature quantities, such that the weight is larger as the correlation with the image interpretation item is higher; a similar case searching unit which searches for the similar case data items, by adding the determined weight to each image feature quantity of the interpretation target image and a corresponding image feature quantity of the medical images in a case database, and comparing the weighted image feature quantities.

Abstract: A similar case searching apparatus includes: an image feature quantity extracting unit which extracts image feature quantities from an interpretation target image; a reference expression extracting unit which extracts a reference expression from a description related to a second test in a target image interpretation report; a weight determining unit which determines, for each image feature quantity, a weight which is larger as the correlation between the image feature quantity and the reference expression is higher, based on two-data correlation information; and a similar case searching unit which searches a case database for a similar case data item including a medical image similar to the interpretation target image, by weighting the image feature quantity extracted from the interpretation target image and a corresponding image feature quantity extracted from the medical image and comparing the weighted image feature quantities.

Abstract: A catheter tip-end rotation angle detection apparatus includes a catheter rotation angle detecting unit that detects a rotation angle of a catheter in an operator's hand, an image processing unit that extracts a catheter tip-end region from an x-ray fluoroscopic image of a first x-ray fluoroscopic capturing unit, a catheter tip-end rotation angle calculation unit that calculates an offset angle between an operator's hand-side rotation angle and a catheter tip-end rotation angle, from a fluoroscopic image captured at an action time of rotating the catheter by one turn, based on an angle at which a catheter tip-end region becomes a straight line in the image processing unit, and that calculates a catheter tip-end rotation angle based on the offset angle and the operator's hand-side rotation angle, during a catheter manipulation time, and an output unit that outputs the calculated catheter tip-end rotation angle.