Abstract:
An information processing apparatus includes a processor. The processor acquires a medical image, identifies the acquired medical image and acquires an identification result, analyzes a motion relating to interpretation of the medical image by a user to acquire a motion analysis result, and compares the identification result and the motion analysis result and acquires a comparison result relating to coincidence or noncoincidence of the identification result and the motion analysis result.
Abstract:
An image processing apparatus includes: a region-of-interest setting unit configured to set a region of interest in an image; a linear convex region extracting unit configured to extract, from the region of interest, a linear region having a predetermined number or more of continuously-arranged pixels whose pixel values are higher than pixel values of neighboring pixels; an intra-region curvature feature data computing unit configured to compute curvature feature data based on curvatures of one or more arcs along the linear region; and an abnormality determining unit configured to determine whether there is an abnormal portion in the region of interest, based on a distribution of the curvature feature data.
Abstract:
An image processing apparatus includes an abnormal portion candidate region detection unit configured to detect a candidate region of an abnormal portion based on color information of each pixel constituting an image obtained by capturing an image of an inside of a lumen of a subject, a border neighboring pixel identifying unit configured to identify a border neighboring pixel which is a pixel existing in proximity to a border of the candidate region, a feature data calculation unit configured to calculate feature data based on a pixel value of the border neighboring pixel, and an abnormal portion region distinguishing unit configured to distinguish an abnormal portion region based on the feature data.
Abstract:
An information processing apparatus includes a processor. The processor acquires a medical image, identifies the acquired medical image and acquires an identification result, analyzes a motion relating to interpretation of the medical image by a user to acquire a motion analysis result, and compares the identification result and the motion analysis result and acquires a comparison result relating to coincidence or noncoincidence of the identification result and the motion analysis result.
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: 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,
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:
An image processing apparatus includes an abnormal candidate region detection unit configured to detect an abnormal candidate region, as a candidate for an abnormal portion, from an intraluminal image obtained by capturing an image of an inside of a lumen of a subject, a tubular region detection unit configured to detect a tubular region from the intraluminal image, a connectivity determination unit configured to determine whether the abnormal candidate region and the tubular region are connected in a region of a color similar to that of the tubular region, and an abnormality determination unit configured to determine whether the abnormal candidate region is the abnormal portion, based on results of determination by the connectivity determination unit.
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:
An image processing apparatus includes: a blood vessel sharpness image creation unit configured to create a blood vessel sharpness image representing sharpness of a blood vessel region in which a blood vessel is shown in an intraluminal image; an abnormal candidate region extraction unit configured to extract a region in which the sharpness is decreased in the blood vessel sharpness image, as a candidate region for an abnormal region in which a visible vascular pattern is locally lost; and an abnormal region determination unit configured to determine whether the candidate region is an abnormal region, based on extension information indicating a state of the blood vessel region extending in a neighborhood of the candidate region.