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公开(公告)号:US12171612B2
公开(公告)日:2024-12-24
申请号:US17087780
申请日:2020-11-03
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Shinya Ozawa , Kiyomi Oshima , Kensuke Shinoda , Gaku Kaneda , Hidetaka Konta , Yuto Ono , Yoshiharu Ohiwa
Abstract: An imaging assisting apparatus according to an embodiment is configured to assist imaging of a medical image diagnosis apparatus that performs a series of medical examinations including a plurality of scan protocols, the imaging assisting apparatus including a processing circuit. The processing circuit is configured to obtain data acquired according to one or more already-executed scan protocols among the plurality of scan protocols. The processing circuit is configured to perform one of the following when a disease or a region suspected of a disease is extracted from the data: controlling a scan protocol which is among the plurality of scan protocols and later than the already-executed scan protocols; and generating reference information related to controlling a scan protocol which is among the plurality of scan protocols and later than the already-executed scan protocols.
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公开(公告)号:US12159399B2
公开(公告)日:2024-12-03
申请号:US17473307
申请日:2021-09-13
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Yutaka Hoshiyama , Yoshimori Kassai , Yuto Ono , Junichiro Araoka , Kazuya Tanoue , Hidetaka Konta
IPC: G16H30/40 , G06F18/2132 , G06T7/00
Abstract: An information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to perform an image generating process of generating a plurality of medical images on the basis of a plurality of imaging parameter groups, the plurality of imaging parameter groups being updated by adversarial learning. The processing circuitry is configured to perform a discriminating process of discriminating whether or not each of the plurality of medical images is a target image acquired by a first medical imaging apparatus in the adversarial learning. The processing circuitry is configured to output one of the imaging parameter groups used for generating the medical images in the image generating process when the adversarial learning has converged.
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