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公开(公告)号:US20240260830A1
公开(公告)日:2024-08-08
申请号:US18565988
申请日:2022-10-20
Applicant: DEEPEYEVISION INC.
Inventor: Hidenori TAKAHASHI
Abstract: To provide a fundus information acquisition method that allows observation and photography to be conducted using an optical system of a simple and easy configuration without the need for accurate alignment of the imaging unit with a test eye even when there is a distance from the test eye. A fundus information acquisition method is provided with an infinity-corrected optical system that uses an imaging unit placed opposite an objective lens that causes light passing through the objective lens to form an image as part of a fundus image of a test eye, where at least a site defined by a range of a pupil of the test eye out of a cornea and a crystalline lens of the same test eye is used as the objective lens opposed to a fundus of the test eye.
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2.
公开(公告)号:US20240233947A1
公开(公告)日:2024-07-11
申请号:US18562901
申请日:2022-09-26
Applicant: DEEPEYEVISION INC.
Inventor: Yusuke KONDO , Hidenori TAKAHASHI
CPC classification number: G16H50/20 , G06T7/0012 , G06V10/44 , G06V10/764 , G06V20/70 , G16H30/40 , G06T2207/30096
Abstract: To provide an information processing apparatus, an information processing method, and a computer-readable recording medium that can infer one or more diseases from a medical image.
An image acquisition unit 225 that acquires a medical image, an image feature extraction unit 227 that extracts one or more image feature values from the medical image, an inference unit 226 that infers one or more diseases predicted from the medical image based on the one or more image feature values and a classification basis 233, the classification basis being a set of basis vectors that represent correlations between each of the diseases and other diseases by using a vector of a certain dimension, and an output unit 228 that outputs results inferred by the inference unit are included.-
3.
公开(公告)号:US20230317283A1
公开(公告)日:2023-10-05
申请号:US18015359
申请日:2021-07-15
Applicant: DeepEyeVision Inc
Inventor: Hidenori TAKAHASHI
Abstract: A prognosis determination device including an acquisition unit that acquires a medical image and a biological parameter that are related to a disease of a subject; and an output unit that inputs, to a discriminator, information on the medical image, information on the biological parameter, and information on treatment to be performed, and causes the discriminator to output information on a prognosis for a case where the treatment is performed, in which the discriminator has been generated through a machine learning process based on actual treatment data and interpolation treatment data, the actual treatment data is data on the treatment that has been actually performed, the actual treatment data including a pretreatment medical image as well as a pretreatment biological parameter of a patient, information on the treatment performed on the patient, and information on a prognosis for the patient after the treatment, and the interpolation treatment data is information for interpolating a posttreatment prognosis for the patient, the interpolation treatment data including information generated from the actual treatment data and a typical model obtained when the treatment is performed.
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