DATA PROCESSING APPARATUS AND METHOD, RECOGNITION APPARATUS, LEARNING DATA STORAGE APPARATUS, MACHINE LEARNING APPARATUS, AND PROGRAM

    公开(公告)号:US20200342267A1

    公开(公告)日:2020-10-29

    申请号:US16927987

    申请日:2020-07-13

    Inventor: Toshihiro USUDA

    Abstract: A data processing apparatus and a method, a recognition apparatus, a learning data storage apparatus, a machine learning apparatus, and a program capable of improving recognition accuracy for data of a rare case are provided. A data processing apparatus according to one aspect of the present invention includes a recognition unit that learns using a learning data set, a recognition result correction unit that corrects a recognition result of the recognition unit for data acquired through a data acquisition unit in accordance with an instruction from a user, and a machine learning unit that performs learning of the recognition unit using the data in which the recognition result is corrected. The machine learning unit performs learning of the recognition unit by setting a degree of contribution to learning from the data in which the recognition result is corrected to be higher than a degree of contribution to learning of the recognition unit from learning data included in the learning data set.

    ENDOSCOPE SYSTEM
    12.
    发明申请

    公开(公告)号:US20250160615A1

    公开(公告)日:2025-05-22

    申请号:US19034572

    申请日:2025-01-23

    Inventor: Toshihiro USUDA

    Abstract: An endoscope system includes an image obtaining unit that obtains an image obtained by image capturing of a photographic subject, a recognition unit that performs a recognition process of recognizing the photographic subject by using the image, an identification unit that identifies an operation performed on the photographic subject, a setting unit that enables or disables the recognition unit in accordance with the result of identification by the identification unit, and a notification unit that gives a notification of whether the recognition unit is enabled or disabled.

    MACHINE LEARNING SYSTEM, RECOGNIZER, LEARNING METHOD, AND PROGRAM

    公开(公告)号:US20230410482A1

    公开(公告)日:2023-12-21

    申请号:US18457374

    申请日:2023-08-29

    Abstract: There are provided a machine learning system, a learning method, and a program that can facilitate learning of a large number of combined medical images. A machine learning system (10) includes: an image database (14) that stores a plurality of medical images; a geometric-shape database (16) that stores geometric shapes to be superimposed on the medical images; a processor (22); and a learning model (30), in which the processor (22) is configured to perform a selection accepting process of accepting selection of a medical image from among the medical images stored in the image database (14) and selection of a geometric shape from among the geometric shapes stored in the geometric-shape database (16), a geometric-shape combining process of combining the selected medical image and the selected geometric shape and generating a composite image, and a training process of making the learning model perform learning by using the composite image.

    INFORMATION PROCESSING APPARATUS, TRAINING DATA GENERATION DEVICE, AND DIAGNOSIS SUPPORT SYSTEM

    公开(公告)号:US20230082499A1

    公开(公告)日:2023-03-16

    申请号:US17930770

    申请日:2022-09-09

    Inventor: Toshihiro USUDA

    Abstract: An information processing apparatus detects, by a first detector, a region-of-interest reflected in medical image data, performs a control of displaying, on a display, the medical image data which is a detection result indicating that the region-of-interest is not detected, receives information for specifying the medical image data evaluated that the detection result is false negative by a user, re-detects, by a second detector, the region-of-interest based on the false negative medical image data, and trains the first detector using a first medical image data set including the medical image data and a re-detection result.

    LEARNING DEVICE, LEARNING METHOD, AND LEARNED MODEL

    公开(公告)号:US20210142901A1

    公开(公告)日:2021-05-13

    申请号:US17082028

    申请日:2020-10-28

    Inventor: Toshihiro USUDA

    Abstract: Provided are a learning device, a learning method, and a learned model capable of allowing an operator to ascertain what part inside a body of a subject is observed in the middle of examination by medical equipment.
    In a learning device, a learning method and, a learned model, an image acquisition unit acquires a medical image of an observation target part inside the body of the subject in each of a plurality of observation steps in which an observation order of the observation target part is determined, a step prediction unit outputs a prediction step predicting an observation step corresponding to the medical image from the medical image based on a learning result in each observation step, a step comparison unit compares the prediction step with a ground truth step corresponding to the prediction step in each observation step, and a learning controller makes the step prediction unit learn a relationship between the medical image and the prediction step based on a result of comparison by the step comparison unit in each observation step such that the prediction step becomes close to the ground truth step.

    ENDOSCOPE APPARATUS, ENDOSCOPE OPERATION METHOD, AND PROGRAM

    公开(公告)号:US20210042925A1

    公开(公告)日:2021-02-11

    申请号:US17078084

    申请日:2020-10-22

    Inventor: Toshihiro USUDA

    Abstract: An endoscope apparatus includes: a lesion information acquisition unit that acquires acquired lesion information; a lesion identification unit that compares existing lesion information with the acquired lesion information and determines whether the acquired lesion information corresponds to the same lesion indicated by the existing lesion information; a lesion count unit that counts a lesion count, which is the number of lesions detected in a single endoscopic examination; a display unit; and a control unit that increments the lesion count counted by the lesion count unit by one when the lesion identification unit determines that the acquired lesion information does not correspond to the same lesion indicated by the existing lesion information.

    MEDICAL SUPPORT DEVICE, MEDICAL SUPPORT SYSTEM, OPERATION METHOD OF MEDICAL SUPPORT DEVICE, AND PROGRAM

    公开(公告)号:US20250148592A1

    公开(公告)日:2025-05-08

    申请号:US18915365

    申请日:2024-10-15

    Inventor: Toshihiro USUDA

    Abstract: A medical support device includes a processor and communicates with an external device that transmits medical information including a medical image and/or modality-related information. The medical image is obtained by imaging a subject via a modality. The modality-related information is information on the modality at a timing at which the medical image is obtained. The processor receives the medical information transmitted from the external device, executes first processing on the medical information, transmits an execution result, switches a processing content of the first processing in accordance with the medical information, and transmits switching content information indicating a switching content.

    DIAGNOSIS SUPPORT DEVICE, ULTRASOUND ENDOSCOPE, DIAGNOSIS SUPPORT METHOD, AND PROGRAM

    公开(公告)号:US20250090135A1

    公开(公告)日:2025-03-20

    申请号:US18969284

    申请日:2024-12-05

    Inventor: Toshihiro USUDA

    Abstract: A diagnosis support device includes a processor. The processor acquires an ultrasound image, displays the acquired ultrasound image on a display device, and displays, in the ultrasound image, a first mark capable of specifying a lesion region detected from the ultrasound image within the ultrasound image and a second mark capable of specifying an organ region detected from the ultrasound image within the ultrasound image. The first mark is displayed in a state of being emphasized more than the second mark.

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