Abstract: An image processing apparatus includes a processor. The processor receives an observation image of a subject or the observation image and system information, detects a lesioned part candidate from the observation image, estimates a deterioration risk of endoscopy quality from the observation image or the system information, controls a notification form of the lesioned part candidate from an estimation result of the deterioration risk, and notifies the lesioned part candidate according to the control of the notification form.

Abstract: An image processing device includes a processor including hardware, the processor being configured to execute: estimating an operation state of a medical apparatus in a lumen of a subject based on information sequentially input from the medical apparatus, the medical apparatus including an imaging device, and an insertion portion inserted into the lumen, and the information including at least an intraluminal image obtained by the imaging device capturing an image inside the lumen; and performing processing corresponding to the operation state of the medical apparatus in the lumen based on an estimation result.

Abstract: An image processing apparatus includes a processor. The processor receives an observation image of a subject or the observation image and system information, detects a lesioned part candidate from the observation image, estimates a deterioration risk of endoscopy quality from the observation image or the system information, controls a notification form of the lesioned part candidate from an estimation result of the deterioration risk, and notifies the lesioned part candidate according to the control of the notification form.

Abstract: A diagnosis support apparatus includes a processor including at least one piece of hardware. The processor identifies, based on physical information including one or more kinds of information capable of estimating a state of a diagnosis target organ of a subject, one abnormal symptom appearing in the diagnosis target organ, performs, as lesion extraction processing for extracting a lesion candidate region from an endoscopic image, different processing specialized for each abnormal symptom that appears in the diagnosis target organ, and performs the lesion extraction processing corresponding to the identified one abnormal symptom.

Abstract: A diagnosis support apparatus includes a processor including at least one piece of hardware. The processor identifies, based on physical information including one or more kinds of information capable of estimating a state of a diagnosis target organ of a subject, one abnormal symptom appearing in the diagnosis target organ, performs, as lesion extraction processing for extracting a lesion candidate region from an endoscopic image, different processing specialized for each abnormal symptom that appears in the diagnosis target organ, and performs the lesion extraction processing corresponding to the identified one abnormal symptom.

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: 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 disclosed image processing apparatus includes a processor comprising hardware, the processor being configured to obtain a plurality of temporally continuous images generated by continuously imaging a subject illuminated with illumination light; calculate a correction coefficient on the basis of a correction target frame among the plurality of images; revise the correction coefficient of the correction target frame on the basis of the correction coefficient of each of a plurality of frames within a predetermined time set beforehand from a shooting time of the correction target frame; and create a display image on the basis of the correction target frame and the correction coefficient.

Abstract: A diagnosis support apparatus includes a processor including at least one piece of hardware. The processor identifies, based on physical information including one or more kinds of information capable of estimating a state of a diagnosis target organ of a subject, one abnormal symptom appearing in the diagnosis target organ, performs, as lesion extraction processing for extracting a lesion candidate region from an endoscopic image, different processing specialized for each abnormal symptom that appears in the diagnosis target organ, and performs the lesion extraction processing corresponding to the identified one abnormal symptom.

Abstract: An image processing apparatus includes a processor. The processor receives an observation image of a subject or the observation image and system information, detects a lesioned part candidate from the observation image, estimates a deterioration risk of endoscopy quality from the observation image or the system information, controls a notification form of the lesioned part candidate from an estimation result of the deterioration risk, and notifies the lesioned part candidate according to the control of the notification form.

Abstract: An image processing apparatus have a processor configured to: receive a plurality of images of a tissue including a lesion portion, the plurality of images being received from an endoscope; judge, based on a signal from the endoscope, whether or not to engage a differentiation classification operation; in response to judging that the differentiation classification operation is engaged, process the plurality of images to specify the lesion portion within one or more of the plurality of images; and perform differentiation classification on the one or more images to classify the lesion portion into at least one class of a plurality of classes; and in response to judging that the differentiation classification operation is not engaged, not process the plurality of images to specify the lesion portion within the one or more of the plurality of images.

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 apparatus including: a memory to store intraluminal images captured by a medical device inserted into a living body, the intraluminal images being associated with time series; and a processor to detect an abnormal area from intraluminal images captured by a medical device inserted into a living body, set a similar abnormal section where the abnormal areas being similar to each other are included, generate information related to the similar abnormal section, extract an intraluminal image that is used as a representative image from among the intraluminal images belonging to the similar abnormal section, control the display device to display the representative image, extract, as the information related to the similar abnormal section from among the intraluminal images, non-representative images which are part of intraluminal images other than the representative image, and control a display device to display the information related to the similar abnormal section.

Abstract: An image processing apparatus includes: an image acquiring unit configured to acquire a lumen image of a living body; an image generating unit configured to generate a plurality of new images by changing at least one of a hue and a brightness of the lumen image to predetermined values based on range information in which a range of at least one of a hue and a brightness is set in advance according to biometric information included in the lumen image; and a learning unit configured to learn identification criteria to perform identification of a subject based on the images.

Abstract: An image processing device includes: an abnormality candidate region detection unit configured to detect, from an intraluminal image obtained by imaging a living body lumen, an abnormality candidate region in which a tissue characteristic of the living body or an in-vivo state satisfies a predetermined condition; a feature data calculation unit configured to calculate, from each of a plurality of regions inside the intraluminal image, a plurality of pieces of feature data including different kinds; an integrated feature data calculation unit configured to calculate integrated feature data by integrating the plurality of pieces of feature data based on information of the abnormality candidate region; and a detection unit configured to detect an abnormality from the intraluminal image by using the integrated feature data.

Abstract: An image processing apparatus includes a processor including hardware. The processor is configured to evaluate, based on information including an image which is captured by an endoscope and is sequentially input, a technical level of an operator who operates the endoscope, and measure a transit time of a specific section.

Abstract: An image processing apparatus includes: a candidate region detection unit configured to detect, from an image acquired by imaging inside a lumen of a living body, a candidate region for a specific region that is a region where a specific part in the lumen has been captured; a candidate region information acquiring unit configured to acquire information related to the candidate region detected by the candidate region detection unit; an identification means determination unit configured to determine an identification means for identification of, based on the information related to the candidate region, whether or not the candidate region is the specific region; and an identification unit configured to identify whether or not the candidate region is the specific region by using the identification means determined by the identification means determination unit.

Abstract: An image processing apparatus have a processor configured to: receive a plurality of images of a tissue including a lesion portion, the plurality of images being received from an endoscope; judge, based on a signal from the endoscope, whether or not to engage a differentiation classification operation; in response to judging that the differentiation classification operation is engaged, process the plurality of images to specify the lesion portion within one or more of the plurality of images; and perform differentiation classification on the one or more images to classify the lesion portion into at least one class of a plurality of classes; and in response to judging that the differentiation classification operation is not engaged, not process the plurality of images to specify the lesion portion within the one or more of the plurality of images.

Abstract: An image processing device includes a processor including hardware, the processor being configured to execute: estimating an operation state of a medical apparatus in a lumen of a subject based on information sequentially input from the medical apparatus, the medical apparatus including an imaging device, and an insertion portion inserted into the lumen, and the information including at least an intraluminal image obtained by the imaging device capturing an image inside the lumen; and performing processing corresponding to the operation state of the medical apparatus in the lumen based on an estimation result.