Abstract: The acquisition unit 41B acquires a target image indicating a target object of inspection. The detection unit 42B detects, on the basis of a group of images each of which indicates the target object in a normal state, the target image that indicates the target object that is not in the normal state among the target images that the acquisition unit 41B acquires.

Abstract: An information processing apparatus (2000) extracts a histomorphological feature of a tissue included in pathological image data (10). The information processing apparatus (2000) generates prediction data (30) based on the extracted histomorphological feature. The prediction data (30) indicates one or more of a prediction relating to an effect of a cancer therapeutic drug on a target patient and a prediction of a side effect of the cancer therapeutic drug on the target patient.

Abstract: The present invention provides an information processing apparatus capable of accurately separating parenchymal cells and stromal cells from each other regardless of the staining intensity of the cells. The information processing apparatus is an information processing apparatus 100 including: an image processing unit 110 for smoothing a tissue sample image 150 obtained by staining and then imaging a biological tissue containing parenchymal cells 151 and stromal cells 152 so that luminance values of cell components of each of the parenchymal cells 151 become less than those of each of the stromal cells 152; and a mask generation unit 120 for generating, through generating a binary image by binarizing the tissue sample image 115 smoothed by the image processing unit 110, a mask 125 for removing a region of the stromal cells from the tissue sample image 115.

Abstract: An image acquisition unit (2020) acquires an analysis image. The analysis image is an image in which a plurality of cell nuclei in a lesion of a target person are captured. A feature-value calculation unit (2040) calculates the feature-value relating to the cell nuclei from the analysis image. An evaluation function acquisition unit (2060) acquires an evaluation function from an evaluation function storage unit (10). The evaluation function is a function with which prediction information is calculated based on the feature-value. The prediction information generation unit (2080) generates prediction information relating to a target person based on a feature-value, which has been calculated from an analysis image, and an evaluation function which has been acquired by the evaluation function acquisition unit (2060). The prediction information is information indicating a prediction of a prognosis of a disease of the target person or a prediction of malignancy of a disease of the target person.

Abstract: The present invention provides an information processing apparatus capable of selecting a region of cancer cells in any tissue sample image and easily and accurately counting the number of the cancer cells. The information processing apparatus is an information processing apparatus 100 including: an acquisition unit 110 for acquiring image data obtained by reading a tissue sample image 150 obtained by putting a mark 151 specifying a selected area 152 on an image obtained by immunostaining and then imaging a biological tissue; and a counting unit 120 for counting the number of cancer cells in the selected area 152 specified by the mark 151 based on the image data of the tissue sample image 150 acquired by the acquisition unit 110, wherein a diagnosis based on the tissue sample image 150 is supported.

Abstract: A image input means 81 inputs a lifeform image which is a captured image of a lifeform sample. A structure standard color storage means 82 stores a standard color of a structure included in the lifeform image. A structure extraction means 83 extracts a target structure from the lifeform image. A structure color computation means 84 computes, from an image of the structure extracted by the structure extraction means 83, a color of the structure. A color distribution conversion means 85 converts a color distribution of the input lifeform image so that a difference between the color of the structure computed by the structure color computation means 84 and the standard color of the corresponding structure stored in the structure standard color storage means 82 is reduced.

Abstract: The invention is directed to a reduction in the influence on a pathological diagnosis when an image reading apparatus is exchanged. In order to solve the above-mentioned problem, there is provided an image processing apparatus that processes a biological image generated by capturing an image of a biological specimen in an image reading apparatus, including: an acquisition unit that acquires identification information of the image reading apparatus; a determination unit that determines a type of biological tissue included in the biological image; and a correction unit that adds a correction process to the biological image in correspondence with the identification information of the image reading apparatus and the type of biological tissue.

Abstract: An image acquisition unit (2020) acquires an analysis image. The analysis image is an image in which a plurality of cell nuclei in a lesion of a target person are captured. A feature-value calculation unit (2040) calculates the feature-value relating to the cell nuclei from the analysis image. An evaluation function acquisition unit (2060) acquires an evaluation function from an evaluation function storage unit (10). The evaluation function is a function with which prediction information is calculated based on the feature-value. The prediction information generation unit (2080) generates prediction information relating to a target person based on a feature-value, which has been calculated from an analysis image, and an evaluation function which has been acquired by the evaluation function acquisition unit (2060). The prediction information is information indicating a prediction of a prognosis of a disease of the target person or a prediction of malignancy of a disease of the target person.

Abstract: This invention relates to an information processing apparatus which assists diagnosis based on a tissue sample image obtained by staining and capturing a tissue. The information processing apparatus receives and analyzes lower magnification image data among a plurality of image data obtained at different magnifications for an area image selected in the tissue sample image. Based on the analysis result, the information processing apparatus determines whether analysis based on higher magnification image data is necessary. When analysis based on the higher magnification image data is necessary, the information processing apparatus notifies a request of transmitting the higher magnification image data for the area image, receives and analyzes the higher magnification image data transmitted in response to the transmission request, and transmits the analysis result.

Abstract: This invention relates to an information processing apparatus which assists diagnosis based on a tissue sample image obtained by staining and capturing a tissue. The information processing apparatus receives and analyzes lower magnification image data among a plurality of image data obtained at different magnifications for an area image selected in the tissue sample image. Based on the analysis result, the information processing apparatus determines whether analysis based on higher magnification image data is necessary. When analysis based on the higher magnification image data is necessary, the information processing apparatus notifies a request of transmitting the higher magnification image data for the area image, receives and analyzes the higher magnification image data transmitted in response to the transmission request, and transmits the analysis result.

Abstract: This invention relates to an information processing apparatus which assists diagnosis based on a tissue sample image obtained by staining and capturing a tissue. The information processing apparatus receives and analyzes lower magnification image data among a plurality of image data obtained at different magnifications for an area image selected in the tissue sample image. Based on the analysis result, the information processing apparatus determines whether analysis based on higher magnification image data is necessary. When analysis based on the higher magnification image data is necessary, the information processing apparatus notifies a request of transmitting the higher magnification image data for the area image, receives and analyzes the higher magnification image data transmitted in response to the transmission request, and transmits the analysis result.

Abstract: The present invention provides an information processing apparatus capable of accurately separating parenchymal cells and stromal cells from each other regardless of the staining intensity of the cells. The information processing apparatus is an information processing apparatus 100 including: an image processing unit 110 for smoothing a tissue sample image 150 obtained by staining and then imaging a biological tissue containing parenchymal cells 151 and stromal cells 152 so that luminance values of cell components of each of the parenchymal cells 151 become less than those of each of the stromal cells 152; and a mask generation unit 120 for generating, through generating a binary image by binarizing the tissue sample image 115 smoothed by the image processing unit 110, a mask 125 for removing a region of the stromal cells from the tissue sample image 115.

Abstract: The present invention provides an information processing apparatus capable of accurately separating parenchymal cells and stromal cells from each other regardless of the staining intensity of the cells. The information processing apparatus is an information processing apparatus 100 including: an image processing unit 110 for smoothing a tissue sample image 150 obtained by staining and then imaging a biological tissue containing parenchymal cells 151 and stromal cells 152 so that luminance values of cell components of each of the parenchymal cells 151 become less than those of each of the stromal cells 152; and a mask generation unit 120 for generating, through generating a binary image by binarizing the tissue sample image 115 smoothed by the image processing unit 110, a mask 125 for removing a region of the stromal cells from the tissue sample image 115.

Abstract: The present invention provides an information processing apparatus capable of selecting a region of cancer cells in any tissue sample image and easily and accurately counting the number of the cancer cells. The information processing apparatus is an information processing apparatus 100 including: an acquisition unit 110 for acquiring image data obtained by reading a tissue sample image 150 obtained by putting a mark 151 specifying a selected area 152 on an image obtained by immunostaining and then imaging a biological tissue; and a counting unit 120 for counting the number of cancer cells in the selected area 152 specified by the mark 151 based on the image data of the tissue sample image 150 acquired by the acquisition unit 110, wherein a diagnosis based on the tissue sample image 150 is supported.

Abstract: A image input means 81 inputs a lifeform image which is a captured image of a lifeform sample. A structure standard color storage means 82 stores a standard color of a structure included in the lifeform image. A structure extraction means 83 extracts a target structure from the lifeform image. A structure color computation means 84 computes, from an image of the structure extracted by the structure extraction means 83, a color of the structure. A color distribution conversion means 85 converts a color distribution of the input lifeform image so that a difference between the color of the structure computed by the structure color computation means 84 and the standard color of the corresponding structure stored in the structure standard color storage means 82 is reduced.

Abstract: Provided is an information processing apparatus which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, including an area generation unit that divides at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level; and an overlay image generation unit that associates the area of each level which is generated by the area generation unit with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable and generates an overlay image.

Abstract: This invention relates to an information processing apparatus which assists diagnosis based on a tissue sample image obtained by staining and capturing a tissue. The information processing apparatus receives and analyzes lower magnification image data among a plurality of image data obtained at different magnifications for an area image selected in the tissue sample image. Based on the analysis result, the information processing apparatus determines whether analysis based on higher magnification image data is necessary. When analysis based on the higher magnification image data is necessary, the information processing apparatus notifies a request of transmitting the higher magnification image data for the area image, receives and analyzes the higher magnification image data transmitted in response to the transmission request, and transmits the analysis result.

Abstract: A spot quantification apparatus includes an image input unit, a filtering unit, and a spot quantification unit. The image input unit receives an image including a spot. The filtering unit filters the image input through the image input unit a plurality of times while changing a parameter of a kernel within a predetermined range. The spot quantification unit quantifies a feature of the spot based on the luminance distribution in each image which has been filtered a plurality of times by the filtering unit.

Abstract: The present invention provides an information processing apparatus capable of selecting a region of cancer cells in any tissue sample image and easily and accurately counting the number of the cancer cells. The information processing apparatus is an information processing apparatus 100 including: an acquisition unit 110 for acquiring image data obtained by reading a tissue sample image 150 obtained by putting a mark 151 specifying a selected area 152 on an image obtained by immunostaining and then imaging a biological tissue; and a counting unit 120 for counting the number of cancer cells in the selected area 152 specified by the mark 151 based on the image data of the tissue sample image 150 acquired by the acquisition unit 110, wherein a diagnosis based on the tissue sample image 150 is supported.

Abstract: The present invention provides an information processing apparatus capable of accurately separating parenchymal cells and stromal cells from each other regardless of the staining intensity of the cells. The information processing apparatus is an information processing apparatus 100 including: an image processing unit 110 for smoothing a tissue sample image 150 obtained by staining and then imaging a biological tissue containing parenchymal cells 151 and stromal cells 152 so that luminance values of cell components of each of the parenchymal cells 151 become less than those of each of the stromal cells 152; and a mask generation unit 120 for generating, through generating a binary image by binarizing the tissue sample image 115 smoothed by the image processing unit 110, a mask 125 for removing a region of the stromal cells from the tissue sample image 115.