公开(公告)号：US20220246303A1

公开(公告)日：2022-08-04

申请号：US17719575

申请日：2022-04-13

Applicant: OLYMPUS CORPORATION

Inventor： Seiichiro SAKAGUCHI

IPC: G16H50/20 ,  G06T7/00 ,  G16H30/40 ,  G16H40/20 ,  G06N3/04

Abstract: A learning support system includes a storage configured to store an endoscope image and an annotation image generated in a first network, a processor acquiring the annotation image from the storage, using the annotation image to perform machine learning, and generating a trained model, and a server system performing communications with the processor, and being uploaded with a trained model. The storage and the processor each serve as a node constituting the first network, which is an intra-hospital network. The server system serves as a node constituting a second network, which is an extra-hospital network.

公开(公告)号：US20230363777A1

公开(公告)日：2023-11-16

申请号：US18196089

申请日：2023-05-11

Applicant: OLYMPUS CORPORATION

Inventor： Genri INAGAKI ,  Masayasu CHIDA ,  Yuji SAKAMOTO ,  Makoto ISHIKAKE ,  Seiichiro SAKAGUCHI ,  Shohei HEMMI

IPC: A61B17/221 ,  A61B17/00

CPC classification number: A61B17/221 ,  A61B17/00234 ,  A61B2017/00296 ,  A61B2017/22072

Abstract: The medical system includes a basket treatment tool a processor. The processor determines, one or more of: a first determination, based on a transmissive image including the biliary duct, of whether a size of a gallstone allows the basket treatment tool to remove the gallstone from the papillary orifice, or a second determination, based on a resistance when the basket treatment tool is pulled, of whether the resistance allows the basket treatment tool to remove the gallstone from the papillary orifice; and controls the basket treatment tool to remove the gallstone from the papillary orifice when one or more of the first determination or the second determination determines that the gallstone is removable from the papillary orifice.

公开(公告)号：US20200074224A1

公开(公告)日：2020-03-05

申请号：US16552542

申请日：2019-08-27

Applicant: OLYMPUS CORPORATION

Inventor： Toshikazu HAYASHI ,  Zhen LI ,  Hisayuki HARADA ,  Seiichiro SAKAGUCHI ,  Kazuhiko OSA ,  Osamu NONAKA

IPC: G06K9/62 ,  G06F3/14 ,  G06K9/48 ,  G06N3/08

Abstract: An annotation device, comprising: a display that performs sequential playback display of a plurality of images that may contain physical objects that are the subject of annotation, and a processor that acquires specific portions that have been designated within the images displayed on the display as annotation information, sets operation time or data amount for designating the specific portions, and at a point in time where designation of the specific portions has been completed for the operation time, a time based on data amount, or data amount, that have been set, requests learning to an inference engine that creates an inference model by learning, using annotation information that has been acquired up to the time of completion as training data representing a relationship between the physical object and the specific portions.