Abstract:
An endoscope system 10 includes an image acquisition unit 54 that acquires an endoscope image, a monitor 18 that displays at least a portion of the endoscope image, a region-of-interest detection unit 82 that detects a region of interest 124 at least in a non-display region 121 out of a display region 115 to be displayed on the monitor 18, and the non-display region 121 that is a portion excluding the display region 115, a guidance information generation unit 83 that generates guidance information to the region of interest 124 present in the non-display region 121 in a case where the region-of-interest detection unit 82 has detected the region of interest 124 in the non-display region 121, and a display control unit 66 that displays the guidance information on the monitor 18 in addition to the endoscope image.
Abstract:
Provided are a thermoelectric conversion element and a thermoelectric conversion module which can efficiently generate power by preventing heat from being accumulated in a cooling side even in a naturally cooled environment. The thermoelectric conversion element includes a substrate having a sheet-like low thermal conduction portion, a first high thermal conduction portion, and a second high thermal conduction portion, a thermoelectric conversion layer provided on the substrate, a coating layer covering the thermoelectric conversion layer, a third high thermal conduction portion which is provided on the coating layer, has thermal conductivity higher than that of the coating layer, and does not completely overlap the first high thermal conduction portion in a plane direction, and a pair of electrodes, in which the second high thermal conduction portion is thinner than the first high thermal conduction portion and separated from the first high thermal conduction portion in the plane direction, and at least a portion of the second high thermal conduction portion overlaps the thermoelectric conversion layer and the third high thermal conduction portion.
Abstract:
A medical support device includes a processor. An actual size estimation AI is operated to estimate an actual size of a region to be observed which has been recognized by performing a recognition process on a medical image including the region to be observed. The processor is configured to acquire the actual size and to operate the actual size estimation AI according to a recognition result obtained by the recognition process.
Abstract:
An image processing device includes a processor, and the processor decides whether or not to perform image processing on the medical image on the basis of an imaging condition of the medical image and/or an image analysis result obtained by analyzing the medical image. The processor performs, for the medical image on which the processor has decided to perform the image processing, at least one of calculation of an index value related to a stage of ulcerative colitis, determination of the stage of the ulcerative colitis, or determination of remission or non-remission of the ulcerative colitis on the basis of denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage that are obtained from the medical image.
Abstract:
An image acquisition unit acquires a medical image which is obtained by picking up an image of an observation target illuminated with illumination light including short-wavelength narrowband light, the observation target being magnified at a first magnification ratio or more and less than a second magnification ratio that is more than the first magnification ratio. A disease-related processing unit performs processing related to the disease on the basis of the medical image.
Abstract:
A biopsy support device that supports an inspection using a living tissue sampled by a sampling instrument which is used by being inserted into an endoscope having an imaging element, the biopsy support device including a processor configured to recognize that the living tissue has been sampled by the sampling instrument on the basis of captured image data obtained by capturing an image using the imaging element; and generate identification information corresponding to the living tissue in a case where the living tissue is recognized to have been sampled.
Abstract:
Provided is an ink image matter generating method for selecting a fluorescent ink by performing (a) a process of color-measuring a target color which is a target of color reproduction on a medium and the medium on which an inkjet color ink for color reproduction of the target color is printed; (b) a process of calculating a difference between a colorimetric value of the target color and a colorimetric value of the medium on which the color ink is printed; and (c) a process of selecting a fluorescent ink for reducing the difference between the colorimetric value of the target color and the colorimetric value of the medium on which the color ink is printed, from fluorescent inks that are set in advance, and jetting droplets of the selected fluorescent ink together with the color ink, or after the droplets of the color ink are jetted to cause the fluorescent ink to exist on a surface of an ink image matter, thereby making it possible to select and use an appropriate fluorescent ink with respect to a specific color of which the color reproducibility cannot be ensured using only a color ink in inkjet printing on a medium which is a printing substrate and to ensure high color reproducibility ensuring high color reproducibility for the specific color.
Abstract:
A position deviation order detection method according to the invention calculates a difference between input image data of an original image used for printing an image using an inkjet printer and output image data acquired by reading the image using a scanner for each pixel, and compares the calculated difference with a first threshold value to extract pixels for which the difference is equal to or larger than the first threshold value, and detects the size of a position deviation of the image by the number of pixels of a closed pixel group among the extracted pixels.
Abstract:
There is provided an image processing device comprising a processor, in which the processor acquires a plurality of endoscopic images obtained by picking up images of an observation target with an endoscope, calculates a raw score related to a determination of a severity or a stage of a disease of the observation target, on the basis of each of the endoscopic images, decides a final score on the basis of the raw score, and performs control to display the final score and/or a change over time of the final score in real time on a display.
Abstract:
In order to support determination of a disease stage, there are provided a medical image processing system, an endoscope system, a diagnostic support apparatus, and a medical service support apparatus for reliably acquiring an index value relevant to visibility with respect to the state of red blood cells or the degree of irregularity of a gland duct structure according to the disease stage determination accuracy desired by a doctor. A light source unit emits a plurality of illumination light beams having different wavelength bands and different visibilities for red blood cells. An image acquisition unit acquires a plurality of medical images corresponding to respective illumination light beams by imaging an observation target illuminated with the respective illumination light beams. A red blood cell index value acquisition unit acquires a red blood cell index value, which is obtained by indexing the visibility of red blood cells, from each of the medical images.