Abstract:
An image processing apparatus includes a processor. The processor receives endoscope images to be determined, in each of which an image of an inside of a body of a subject is picked up, determines whether or not an endoscope image for comparison concerning a predetermined inspection site, and the endoscope images to be determined are same or similar, determines whether or not an observation mode of each of the endoscope images to be determined is a condition suitable for automatic recording, and automatically records a predetermined number of the endoscope images to be determined in a recording unit, when the endoscope images to be determined and the endoscope image for comparison are determined to be the same or similar and when the observation mode is the condition suitable for automatic recording.
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 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:
The image-shake correction apparatus 1 of the invention comprises a base part 10 including a permanent magnet 20 and a moving part 30 having a coil 40 located in a position opposite to the permanent magnet 20, wherein the permanent magnet 20 and coil 40 form together a voice coil motor 70, and the permanent magnet 20 includes cutouts 101, 102 and 103.
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:
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 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 image recording system includes a processor. The processor acquires a time series RAW image group including a plurality of time series RAW images in a first time section. The processor extracts, from the time series RAW image group, a recording candidate RAW image group included in a second time section as a part of the first time section. The processor records at least one RAW image included in the recording candidate RAW image group as a recording target RAW image which is a RAW image to be recorded. The processor selects the recording target RAW image from the recording candidate RAW image group. The processor converts the RAW image which is not selected as the recording target RAW image from the recording candidate RAW image group or the time series RAW image group to compressed data, and records the compressed data.
Abstract:
An image processing apparatus includes an input unit, an estimation unit, an acquisition unit, a production unit, and a display control unit. The input unit acquires examination information including an endoscope image. The estimation unit estimates an image pickup site based on the endoscope image. The acquisition unit acquires, from the examination information, image pickup information corresponding to the endoscope image and indicating a state of at least one of an endoscope or a subject when the endoscope image is picked up. The production unit produces a model map and associates the image pickup information with a virtual site based on a result of the estimation by the estimation unit. The display control unit controls a display device.
Abstract:
A capsule endoscope position detection method includes first to third steps. The method uses at least four antennas configured to receive signals wirelessly transmitted from a capsule endoscope inside a subject. In the first step, a calculation device calculates a distance difference between a first distance and a second distance on the basis of the signals received by two of the at least four antennas. The first distance is a distance between one of the two antennas and a capsule endoscope. The second distance is a distance between the other of the two antennas and the capsule endoscope. In the second step, the calculation device selects at least three distance differences among the distance differences calculated in the first step. In the third step, the calculation device calculates a Z coordinate of the capsule endoscope on the basis of the selected distance difference.