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公开(公告)号：US20240161298A1
公开(公告)日：2024-05-16
申请号：US18550762
申请日：2022-02-07
Applicant: SONY GROUP CORPORATION
Inventor： SHIORI SASADA , KAZUKI AISAKA , KENJI YAMANE , JUNICHIRO ENOKI , YOSHIYUKI KOBAYASHI , MASATO ISHII , KENJI SUZUKI
CPC classification number: G06T7/0012 , G16H50/20 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
Abstract: The present invention improves estimation accuracy. An information processing system includes: an acquisition unit (102) configured to acquire adjustment information based on a feature value of learning data used for generation of a learned model that estimates a health condition of a patient or a subject; a processing unit (103) configured to perform processing on a biological sample to be judged on the basis of the adjustment information; and an estimation unit (104) configured to estimate a diagnosis result by inputting measurement data acquired by the processing to the learned model.
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2.发明公开公开(公告)号：US20230351191A1
公开(公告)日：2023-11-02
申请号：US18246205
申请日：2021-08-18
Applicant: SONY GROUP CORPORATION
Inventor： MASATO ISHII
IPC: G06N3/084
CPC classification number: G06N3/084
Abstract: The information processing apparatus includes: a management unit that stores a correspondence relationship between a training method for a model and task information of the model; and a selection unit that selects an optimum training method for task information input from a predetermined device and outputs the optimum training method to the device. The management unit associates pieces of specification information necessary for implementing training methods with the training methods, respectively, and stores the pieces of specification information and the training methods. The selection unit selects an optimum training method within a range of a specification available for training in the device.
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公开(公告)号：US20240220775A1
公开(公告)日：2024-07-04
申请号：US18567456
申请日：2021-12-27
Applicant: SONY GROUP CORPORATION
Inventor： JUN NISHIKAWA , MASATO ISHII , TAKUYA NARIHIRA
IPC: G06N3/045
CPC classification number: G06N3/045
Abstract: Provided is an information processing system that performs processing related to a subjective evaluation of data generated using a machine learning model. An information processing system includes a system feedback acquisition unit that acquires generation data and evaluation information based on an evaluation model for the generation data, a system feedback presentation unit that presents the generation data and the evaluation information, a user feedback acquisition unit that acquires a user evaluation for the generation data or the evaluation information, and an output unit that outputs the user evaluation acquired by the user feedback acquisition unit.
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公开(公告)号：US20240177861A1
公开(公告)日：2024-05-30
申请号：US18550315
申请日：2021-12-30
Applicant: SONY GROUP CORPORATION
Inventor： KENJI YAMANE , KENJI SUZUKI , TOYA TERAMOTO , YUKI ONO , YOSHIYUKI KOBAYASHI , MASATO ISHII
CPC classification number: G16H50/20 , G06T7/0012 , G16H15/00 , G16H30/40 , G06T2207/20081 , G06T2207/20084
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.
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