Abstract: An object of the present invention is to provide a compound having an anti-inflammatory activity or a pharmacologically acceptable salt thereof. The solution of the present invention is a compound of general formula (1) or a pharmacologically acceptable salt thereof. wherein the symbols in the formula are defined below: R1: e.g., a C1-C6 alkyl group; R2: a C1-C6 alkyl group; A: e.g., an oxygen atom; and R3: e.g., a C1-C6 alkyl group.

Abstract: An endoscopic image processing apparatus includes a processor having a lesion recognizing function capable of recognizing a lesioned part included in an image generated by applying predetermined processing. The processor has the lesion recognizing function implemented by performing machine learning using, as a plurality of learning images, a plurality of past observation images generated through the predetermined processing, and the processor performs conversion processing for converting, based on a setting value for learning image equivalent to a past setting value for observation image used in the predetermined processing performed at generation of each of the plurality of learning images, the image into an image for lesion recognition used for processing corresponding to the lesion recognizing function.

Abstract: A processor of an endoscope system detects from the observation images a lesion area which is an observation target of the endoscope, judges a level of an oversight risk which is a risk that an operator may overlook the lesion area, on the basis of the observation images, and controls notification methods of detection of the lesion area on the basis of the level of the oversight risk. The processor displays the marker image indicating the lesion area only in a second image region of the display apparatus when a level of the oversight risk relating to the lesion area is a first level and displays the marker image in both a first image region and the second image region which is smaller than the first image region when a level of the oversight risk relating to the lesion area is a second level higher than the first level.

Abstract: A diagnosis support system includes a processor. The processor is connected to a plurality of classifiers that are different in performance. The processor displays performance information of each of the classifiers side by side, receives a user's selection of the performance information displayed side by side, and inputs an input image to the classifier associated with the performance information selected by the user.

Abstract: A diagnosis support apparatus performs identification for a plurality of support items, which are identification classifications about diagnosis support, and the diagnosis support apparatus is provided with a processor. The processor performs analysis processing for acquiring analysis results including an analysis result about an observation mode by analyzing at least one of an input signal specifying the observation mode and an observation image obtained by observing an inside of a subject with an endoscope; performs support item setting processing for setting a support item corresponding to the analysis results obtained by the analysis processing, among the plurality of support items, which are the identification classifications; and generates diagnosis support information, which is information used for diagnosis of a legion candidate area included in the observation image, based on an identification index corresponding to the set support item and the observation image.

Abstract: A diagnosis assisting apparatus includes a processor. The processor is configured to detect at least one target region from an acquired image and output position information of the target region. The processor is also configured to classify the target region based on predetermined classification conditions corresponding to diagnosis indices and output diagnosis assisting information indicating a degree of seriousness of the target region. The processor is then configured to control a display image such that a first period, during which the diagnosis assisting information is displayed in a first region, is different from a second period, during which the position information is superimposed on the image in a second region and is displayed.

Abstract: A processor of an endoscope system detects from the observation images a lesion area which is an observation target of the endoscope, judges a level of an oversight risk which is a risk that an operator may overlook the lesion area, on the basis of the observation images, and controls notification methods of detection of the lesion area on the basis of the level of the oversight risk. The processor displays the marker image indicating the lesion area only in a second image region of the display apparatus when a level of the oversight risk relating to the lesion area is a first level and displays the marker image in both a first image region and the second image region which is smaller than the first image region when a level of the oversight risk relating to the lesion area is a second level higher than the first level.

Abstract: An image processing device for an endoscope includes a processor. The processor receives, as input, a generated image acquired by performing predetermined processing on an image pickup signal acquired by an endoscope, analyzes a withdrawing speed of the endoscope based on at least one of the generated image and information relating to an operation state of the endoscope, detects a lesion part from the generated image, performs a diagnosis support action on the lesion part, decides a factor affecting the diagnosis support action based on an analysis result of the withdrawing speed, and outputs the factor.

Abstract: An image processing device includes: a first processor configured to perform image processing on an inputted image, the image processing including diagnostic process; a second processor configured to perform selection processing to select and transmit a portion of the inputted image to an external image processing apparatus connected to an external network; and an interface configured to receive a processing result of the diagnostic process by the external image processing apparatus.

Abstract: An endoscopic image processing apparatus includes a processor having a lesion recognizing function capable of recognizing a lesioned part included in an image generated by applying predetermined processing. The processor has the lesion recognizing function implemented by performing machine learning using, as a plurality of learning images, a plurality of past observation images generated through the predetermined processing, and the processor performs conversion processing for converting, based on a setting value for learning image equivalent to a past setting value for observation image used in the predetermined processing performed at generation of each of the plurality of learning images, the image into an image for lesion recognition used for processing corresponding to the lesion recognizing function.

Abstract: A diagnosis assisting apparatus includes a processor configured to: detect at least one target region from an acquired image and output position information of the target region; classify the target region based on predetermined classification conditions corresponding to diagnosis indices and output diagnosis assisting information indicating a degree of seriousness of the target region; and control a display image such that a first period, during which the diagnosis assisting information is displayed in a first region, is different from a second period, during which the position information is superimposed on the image in a second region and is displayed.

Abstract: An endoscope system includes: a capsule endoscope that is capable of being introduced into a subject and that wirelessly transmits image data obtained by capturing an image inside the subject; a plurality of receiving devices each of which receives and records the image data wirelessly transmitted by the capsule endoscope, each of the receiving devices including a receiver configured to receive, by using wireless communication, identification information for identifying the capsule endoscope, a recorder configured to record the image data, and a first controller configured to establish wireless communication with the capsule endoscope according to a reception result of the receiver and record, in the recorder, the image data transmitted from the capsule endoscope by associating the image data with the identification information of the capsule endoscope; and a workstation that is connected to the plurality of the receiving devices, the workstation including a processor comprising hardware.

Abstract: An image processing apparatus includes an input circuit to which an image acquired by medical equipment is sequentially inputted and a processor. The processor detects a lesion candidate in the image, discriminates the lesion candidate detected and outputs discrimination information, when two or more lesion candidates are detected in the image, selects a discrimination object lesion candidate which is a discrimination object based on information on distance between the medical equipment and the lesion candidates, and outputs position information and discrimination information of the discrimination object lesion candidate together with the image.

Abstract: An endoscopic image processing apparatus includes a processor. The processor detects a lesion candidate region included in an endoscopic image obtained by picking up an image of an inside of a subject with an endoscope, highlights a position of the lesion candidate region detected from the endoscopic image, when a plurality of lesion candidate regions are detected from the endoscopic image, relatively evaluates visibility of the plurality of lesion candidate regions, and performs setting for position highlighting of the lesion candidate region based on an evaluation result of the visibility.

Abstract: An endoscopic image processing apparatus is configured to generate a display image including one main screen and one or more sub-screens smaller than the main screen for displaying an endoscopic image obtained by picking up an image of an object in a subject with an endoscope. The endoscopic image processing apparatus includes a processor. The processor receives the endoscopic image and detects one or more lesion candidate regions included in the endoscopic image, highlights a position of the lesion candidate region, and sets, based on any one of a state of the lesion candidate region, a work state of a user who performs work using the endoscope, or a display state of the display image, a highlighting method in highlighting a position of the lesion candidate region included in at least one of the main screen or the sub-screen.

Abstract: A diagnosis support apparatus performs identification for a plurality of support items, which are identification classifications about diagnosis support, and the diagnosis support apparatus is provided with a processor. The processor performs analysis processing for acquiring analysis results including an analysis result about an observation mode by analyzing at least one of an input signal specifying the observation mode and an observation image obtained by observing an inside of a subject with an endoscope; performs support item setting processing for setting a support item corresponding to the analysis results obtained by the analysis processing, among the plurality of support items, which are the identification classifications; and generates diagnosis support information, which is information used for diagnosis of a legion candidate area included in the observation image, based on an identification index corresponding to the set support item and the observation image.

Abstract: An endoscope diagnosis support system includes a processor. The processor performs detection of an anomaly candidate area from an endoscope image obtained by performing image pickup of an inside of a subject to obtain a detection result, and generates a display image in which an indicator indicating detection of the anomaly candidate area is arranged in a periphery portion of the endoscope image in accordance with the detection result.

Abstract: An image processing device includes a processor. The processor detects a lesion candidate based on a medical image obtained by picking up an image of a subject, detects a feature including a swelling direction of the lesion candidate, determines a display state of a mark displayed according to the feature of the lesion candidate, generates mark display information including information on the display state, and determines a position of the mark in a predetermined peripheral region of the lesion candidate according to the detected swelling direction. The image processing device generates a display image in which the mark is added to the position of the mark of the medical image based on the mark display information.

Abstract: An endoscope system includes: a capsule endoscope that is capable of being introduced into a subject and that wirelessly transmits image data obtained by capturing an image inside the subject; a plurality of receiving devices each of which receives and records the image data wirelessly transmitted by the capsule endoscope, each of the receiving devices including a receiver configured to receive, by using wireless communication, identification information for identifying the capsule endoscope, a recorder configured to record the image data, and a first controller configured to establish wireless communication with the capsule endoscope according to a reception result of the receiver and record, in the recorder, the image data transmitted from the capsule endoscope by associating the image data with the identification information of the capsule endoscope; and a workstation that is connected to the plurality of the receiving devices, the workstation including a processor comprising hardware.

Abstract: An endoscope system including: a server to accumulate image data groups and status information including operation history of observation; a terminal device to allow selecting image data groups accumulated in the server; and a processor provided in the server or the terminal device, wherein the processor is configured to execute: estimating a type of an observation workflow that differs depending on whether observation operation has been performed on the selected image data groups or whether the performed observation operation has been completed, the estimation being performed based on status information corresponding to the selected image data groups; setting transmission image data groups to be transmitted from the server to the terminal device among the selected image data groups based on the estimated type of the observation workflow; and performing control of transmitting the set transmission image data groups from the server to the terminal device.