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 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 processor including hardware, the processor being configured to: estimate, based on image information from a medical device that includes at least an endoscope, a plurality of procedure actions of an operator of the endoscope; perform different supports respectively for procedures by the operator, according to an estimation result of the procedure actions; and output a display for the supports to a display.

Abstract: Provided is a fuel cell stack including a plurality of stacked cells each having separators, in which the corrosion (dissolution) of the base material of each separator used for the end cell, which includes one or more cells located at the positive-side end of the fuel cell stack, can be prevented at low cost and without the productivity decreased. In the fuel cell stack including a plurality of stacked cells each having separators, the base material of each of the separators used for the end cell located at the positive-side end of the fuel cell stack and the base material of each of the separators used for the other cells are different metallic materials, and the base material (e.g., Ti) of each of the separators used for the end cell has higher corrosion resistance than the base material (e.g., SUS) of each of the separators used for the other cells.

Abstract: An attachable matter detection apparatus according to an embodiment includes an acquirement unit, a creation unit, and a determination unit. The acquirement unit acquires a determination target area of an attachable matter from a photographic image. The creation unit creates histograms of at least an edge intensity, luminance, and saturation for the determination target area acquired by the acquirement unit. The determination unit determines whether or not the attachable matter exists in the determination target area on the basis of a ratio of frequency of each grade in each of the histograms created by the creation unit.

Abstract: An image processing device includes at least one processor having hardware. The processor is configured to implement analyzing, in an intraductal image which is an image of inside of a duct, an intraductal imaging situation based on a position of a subject relative to a part that captures an image of the subject. Next, the processor is calculating a plurality of specific region discrimination indices for the intraductal image. Finally, the processor is detecting a specific region by integral determination on the plurality of specific region discrimination indices depending on the intraductal imaging situation.

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 metal separator for a fuel cell is disposed on each side of a membrane electrode assembly. The metal separator includes a base material containing Fe as a primary component and 10 mass % or more of Cr. The base material further contains at least any one of 0.1 to 15 mass % of Ta, 0.1 to 15 mass % of V, and 4 to 10 mass % of Sn.

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 luminal shooting situation analysis unit configured to analyze a luminal shooting situation determined based on a relationship between a subject and an imaging unit that shoots the subject in a luminal image obtained by shooting an inside of a lumen; and a specific region detection unit configured to detect a specific region in accordance with the luminal shooting situation.

Abstract: The present disclosure provides a stainless steel substrate used for a fuel cell separator that comprises Nb and is excellent in corrosion resistance. The embodiments relate to a stainless steel substrate used for a fuel cell separator, comprising Nb in a solid solution state, and comprising substantially no precipitate of a Nb-containing intermetallic compound.

Abstract: A stainless steel substrate used for a fuel cell separator that is excellent in corrosion resistance is disclosed. The embodiments relate to a stainless steel substrate used for a fuel cell separator, comprising substantially no Nb, and comprising Ti.

Abstract: An extraneous-matter detecting apparatus according to an embodiment includes a first extraction unit, a second extraction unit, and a detection unit. The first extraction extracts a first pixel group of first pixels included in a captured image captured by an image capturing device. Each of the first pixels has a luminance gradient directed outward from a predetermined center region. The second extraction unit extracts a second pixel group of second pixels included in the captured image. Each of the second pixels has a luminance gradient directed inward toward the predetermined center region. The detection unit combines the first pixel group, extracted by the first extraction unit, and the second pixel group, extracted by the second extraction unit, with each other so as to detect an extraneous matter adhered to the image capturing device.

Abstract: An image processing apparatus includes: a processor comprising hardware, the processer being configured to execute: setting, in an image, an area of interest where classification is evaluated; calculating surface layer structure information representing a surface layer structure in the area of interest; calculating at least focus degrees of the outside of the area of interest in the image; and classifying the image based on the surface layer structure information and the focus degrees of the outside of the area of interest.

Abstract: An image processing apparatus including a processor comprising hardware, wherein the processor is configured to execute: analyzing a characteristic of a pathologic region included in individual endoscopic images of an endoscopic image group arranged in chronological order; setting, based on the characteristic of the pathologic region, an extraction condition for extracting one or more endoscopic images appropriate for diagnosis from the endoscopic image group; and extracting, based on the extraction condition, one or more endoscopic images having image quality appropriate for diagnosis from the endoscopic image group. When performing the analysis of the characteristic of the pathologic region, the processor classifies the pathologic region into a preset class of malignant degree.

Abstract: Example embodiments of the present invention relate to an image processing apparatus. The apparatus may include a processor and memory storing instructions that when executed on the processor cause the processor to perform the operations of detecting a deep region of a duct in an image and extracting a plurality of contour edges of an inner wall of the duct in the image. The apparatus then may identify a plurality of convex regions among the plurality of contour edges, analyze a respective curvature of each of the plurality of convex regions to identify a convex direction for each of the plurality of convex regions, and detect, as an abnormal region, a convex region having a convex direction directed toward the deep region.

Abstract: A shroud including a body comprising a first side, a second side opposite the first side, and a printed circuit board assembly (“PCBA”) reception unit configured to receive a PCBA unit of an electronic device, wherein the PCBA unit comprises multiple light emitting diode (“LED”) units which emit multiple light emitting diode (“LED”) signals. The shroud can also include a plurality of ribs located on the body and configured to contact a cover for the electronic device, wherein the plurality of ribs are configured to substantially isolate each of the multiple LED signals, and wherein the body and the plurality of ribs comprise a resilient material.

Abstract: An image processing device includes a processor comprising hardware, wherein the processor is configured to execute: acquiring intraluminal images; generating, for each of the intraluminal images, lesion information by estimating a visual point with respect to a lesion region extracted from each of the intraluminal images and analyzing a three-dimensional structure of the lesion, the lesion information indicating any of a top portion, a rising portion, and a marginal protruding portion in the lesion region; and extracting, based on the lesion information, a target image satisfying a prescribed condition from the intraluminal images.

Abstract: A water-droplet detecting apparatus according to an embodiment includes a setting unit, a first extraction unit, a second extraction unit, and a determination unit. The setting unit sets concentric circles having a center at arbitrary one point of a captured image of an image capturing unit. The first extraction unit extracts candidate pixels based on gradients of pixels on a circumference of each of the concentric circles. The candidate pixels are candidates for pixels that are estimated to indicate a water droplet adhered to the image capturing unit. The second extraction unit extracts one or more candidate circles based on the candidate pixels extracted by the first extraction unit. The one or more candidate circles are candidates for circles that indicate a shape of the water droplet. The determination unit determines whether or not the water droplet is adhered based on an extraction result of the second extraction unit.

Abstract: An image processing apparatus includes: an abnormality candidate region detection unit that detects an abnormality candidate region based on a contour edge of a mucosal wall or a surface shape of the mucosal wall in an intraluminal image of a body; and an abnormal region specifying unit that specifies an abnormal region based on texture information of the abnormality candidate region.