Abstract:
An image processing device and a program capable of extracting a cell region as a diagnosis target more accurately may be provided. An image processing device is characterized by: first extraction means (control unit 21) for extracting a candidate region from a form image representing a form of a cell in a tissue sample; acquisition means (control unit 21) for acquiring biological substance information on at least one kind of the biological substance from images representing expression of one or more kinds of biological substances in the tissue sample; and second extraction means (control unit 21) for extracting a diagnosis target region from the candidate region based on characteristic information indicating characteristics of the candidate region and/or the biological substance information.
Abstract:
There is provided an image processing device including an input receiver of inputting an image obtained by photographing a specimen subjected to staining and a hardware processor. The hardware processor extracts a region subjected to the staining from the image as a cell region; extracts a region as a candidate region, the region being surrounded by the cell region and not being subjected to the staining. The hardware processor further extracts a feature amount of the candidate region; determines whether or not the candidate region is a cell region on a basis of the feature amount; and corrects the candidate region which is determined to be a cell region by the distinction means to be a cell region.
Abstract:
An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.
Abstract:
Provided are a non-transitory computer-readable recording medium storing an image analysis program and an image analysis method which can properly extract a cell nucleus area corresponding to a diagnostician from an image for pathological diagnosis with reducing a burden on diagnosticians. A device for analyzing images for pathological diagnosis, acquires a pathological diagnosis image prepared by shooting a tissue specimen, and extracts possibles for a cell nucleus area from the pathological diagnosis image, by using a first parameter for determining a criterion for cell nucleus determination for each diagnostician. The device further extracts one or more cell nucleus areas from the possibles for a cell nucleus area, by using the second parameter for determining a criterion for cell nucleus determination for each diagnosis purpose, and causes a display unit to display the pathological diagnosis image with the one or more cell nucleus areas made recognizable.
Abstract:
An image processing device extracts a candidate region and region information of the cell nucleus from a cell image (S20), judges whether or not to correct the candidate region of the cell nucleus on the basis of the region information of the cell nucleus, and corrects the candidate region of the cell nucleus on the basis of the judged result (S40).