MICROSCOPE DEVICE, IMAGE ACQUISITION SYSTEM, AND IMAGE ACQUISITION METHOD

    公开(公告)号:US20230095577A1

    公开(公告)日:2023-03-30

    申请号:US17905189

    申请日:2021-02-15

    Abstract: To provide a microscope device capable of efficiently or appropriately acquiring an image of a specific region of a living tissue.
    The present technology provides a microscope device including: a first imaging element that images a target including a body tissue and acquires image data; and a second imaging element that images the target at a magnification different from a magnification of the first imaging element and acquires image data, in which the first imaging element includes a determination unit that determines a feature related to the target on the basis of the image data, and the second imaging element is controlled on the basis of a result of the determination. Furthermore, the present technology also provides an image acquisition system including the microscope device. Furthermore, the present technology also provides an image acquisition method performed in the microscope device.

    MEDICAL IMAGE ANALYSIS APPARATUS, MEDICAL IMAGE ANALYSIS METHOD, AND MEDICAL IMAGE ANALYSIS SYSTEM

    公开(公告)号:US20240153088A1

    公开(公告)日:2024-05-09

    申请号:US18550298

    申请日:2022-02-17

    CPC classification number: G06T7/0014

    Abstract: In parallel with an operation of browsing a pathological-tissue image, retrieval of similar cases from past cases using image information about the pathological-tissue image is automatically performed. An analysis apparatus of the present disclosure includes a first setting unit configured to set sample regions in an analysis target region of an image obtained by imaging of a biologically-originated sample, on the basis of an algorithm; a processing unit configured to select at least one reference image from a plurality of reference images associated with a plurality of cases, on the basis of images of the sample regions; and an output unit configured to output the selected reference image.

    IMAGE DIAGNOSTIC SYSTEM AND IMAGE DIAGNOSTIC METHOD

    公开(公告)号:US20240177861A1

    公开(公告)日:2024-05-30

    申请号:US18550315

    申请日:2021-12-30

    Abstract: Provided is an image diagnostic system that diagnoses a medical image using an artificial intelligence function. The image diagnostic system includes: a control unit; a diagnosis unit that estimates a diagnosis result using a machine learning model on the basis of an input image; a diagnosis result report output unit that outputs a diagnosis result report on the basis of the diagnosis result; a selection unit that selects a part of a diagnostic content included in the diagnostic result report; and an extraction unit that extracts determination basis information that has affected estimation of the diagnosis content selected, in which the control unit outputs the determination basis information. The image diagnostic system further includes a correction unit that corrects the determination basis information, in which the determination basis information corrected is used for relearning of the machine learning model.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM

    公开(公告)号:US20230384220A1

    公开(公告)日:2023-11-30

    申请号:US18042647

    申请日:2021-07-20

    Abstract: A main object of the present technology is to provide a technique for automatically proposing a better combination of fluorochrome-labeled antibodies.
    The present technology provides an information processing apparatus including a processing unit that generates a combination list of fluorophores for a biomolecule on the basis of an expression level category obtained by classifying a plurality of biomolecules used for analysis of a sample on the basis of an expression level in the sample, a brightness category obtained by classifying a plurality of fluorophores usable for analysis of the sample on the basis of brightness, correlation information between the plurality of fluorophores, and expression relationship information of the plurality of biomolecules, in which the processing unit selects a fluorophore to be assigned to the biomolecule in the combination list from fluorophores belonging to a brightness category associated with an expression level category to which the biomolecule belongs.

    GENERATION DEVICE AND GENERATION METHOD

    公开(公告)号:US20220399118A1

    公开(公告)日:2022-12-15

    申请号:US17774919

    申请日:2020-11-09

    Abstract: The generation device 100 according to the present application includes an acquisition unit 131 and a generation unit 134. The acquisition unit 131 acquires a first pathological image captured and an annotation that is information added to the first pathological image and is meta information related to the first pathological image. The generation unit 134 generates learning data for evaluating pathological-related information based on a second pathological image according to the second pathological image different from the first pathological image, the learning data being learning data obtained by transcribing the annotation in a manner corresponding to the second pathological image.

Patent Agency Ranking