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公开(公告)号：US10366785B2
公开(公告)日：2019-07-30
申请号：US15839919
申请日：2017-12-13
Inventor： Kensuke Wakasugi , Kenji Kondo , Kazutoyo Takata , Hirohiko Kimura , Toyohiko Sakai
IPC: G16H30/40 , G06K9/20 , G06T11/60 , G06T7/00 , G06K9/32 , G06K9/34 , G06K9/46 , G06K9/62 , G06F3/0484 , G06F16/583
Abstract: If a lesion included in a specification target image is a texture lesion, a probability image calculation unit calculates a probability value indicating a probability that each of a plurality of pixels of the specification target image is included in a lesion area. An output unit calculates, as a candidate area, an area including pixels whose probability values are equal to or larger than a first threshold in a probability image obtained from the probability image calculation unit and, as a modification area, an area including pixels whose probability values are within a certain probability range including the first threshold. An input unit detects an input from a user on a pixel in the modification area. A lesion area specification unit specifies a lesion area on the basis of the probability image, the candidate area, the modification area, and user operation information.
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公开(公告)号：US20240153174A1
公开(公告)日：2024-05-09
申请号：US18413783
申请日：2024-01-16
Inventor： Takehiro TANAKA , Kensuke Wakasugi
CPC classification number: G06T11/206 , G06T11/001 , G16C20/80
Abstract: An information display method including: obtaining first information for displaying an evaluated property value as a comparison indicator for comparing compounds; obtaining an evaluated property value of each of the compounds based on the first information, and generating a map indicating, at a position corresponding to a composition of each of the compounds, the evaluated property value of the compound; generating a first image including the map, and outputting the first image to a displayer; and when the first information is changed, changing the map according to the first information changed, generating a second image including the map changed, and outputting the second image to the displayer.
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Patent Agency Ranking
公开(公告)号：US20240257923A1
公开(公告)日：2024-08-01
申请号：US18631245
申请日：2024-04-10
Inventor： Kensuke Wakasugi
Abstract: An information processing method includes: obtaining material information that is information relating to compounds and indicating, for each of the compounds, two or more elements making up the compound and information relating to a component ratio of the two or more elements; distinguishing an attribute of a group to which the compounds belong, based on the material information; determining a display method for the material information according to the attribute distinguished; and outputting the material information according to the display method determined.
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公开(公告)号：US20240212797A1
公开(公告)日：2024-06-27
申请号：US18418813
申请日：2024-01-22
Inventor： Kensuke Wakasugi , Takehiro Tanaka
Abstract: An information display method includes: obtaining a predicted property value of each of compounds; generating a map indicating, at a position corresponding to a composition of each of the compounds, the predicted property value of the compound; for each of one or more candidate compounds, superimposing a candidate point at a position on the map, the candidate point indicating a composition of the candidate compound, the position corresponding to the composition of the candidate compound; and generating an image including the map on which the one or more candidate points are superimposed, and outputting the image. The candidate compound is a compound that is a candidate for experimentation among the compounds having the predicted property values indicated on the map.
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5.发明授权公开(公告)号：US12267476B2
公开(公告)日：2025-04-01
申请号：US17938530
申请日：2022-10-06
Inventor： Kensuke Wakasugi , Takehiro Tanaka , Koji Morikawa
Abstract: A property display device includes: a search content acquirer that acquires search variables and search data; a property value acquirer that acquires property values of a compound corresponding to the search data; a priority setter that sets a priority of the search variables; a display format determiner that determines a display format of the property of the compound by assigning search variables of high priority to coordinate axes A1 and A2 of color maps Ma and assigning search variables of lower priority than the search variables of high priority to array direction axes A3 and A4 of a first array map Mb1; and an image processor that generates at least one first array map Mb1 as a single image on the basis of the search data, the property values, and the display format.
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公开(公告)号：US10984907B2
公开(公告)日：2021-04-20
申请号：US16440443
申请日：2019-06-13
Inventor： Kensuke Wakasugi , Kenji Kondo , Kazutoyo Takata , Hirohiko Kimura , Toyohiko Sakai
IPC: G06K9/20 , G16H30/40 , G06T11/60 , G06T7/00 , G06F3/0484 , G06K9/32 , G06K9/34 , G06K9/46 , G06K9/62 , G16H50/70 , G16H50/20 , G16H40/63 , G06F16/583
Abstract: If a lesion included in a specification target image is a texture lesion, a probability image calculation unit calculates a probability value indicating a probability that each of a plurality of pixels of the specification target image is included in a lesion area. An output unit calculates, as a candidate area, an area including pixels whose probability values are equal to or larger than a first threshold in a probability image obtained from the probability image calculation unit and, as a modification area, an area including pixels whose probability values are within a certain probability range including the first threshold. An input unit detects an input from a user on a pixel in the modification area. A lesion area specification unit specifies a lesion area on the basis of the probability image, the candidate area, the modification area, and user operation information.
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公开(公告)号：US10757125B2
公开(公告)日：2020-08-25
申请号：US16135520
申请日：2018-09-19
Inventor： Kensuke Wakasugi , Yoshikuni Sato
Abstract: An anomaly detection method includes generating second data by adding normal noise to first data; generating third data by adding abnormal noise to the first data; inputting the first data, the second data, and the third data to a neural network; calculating a first normal score, a second normal score, and a third normal score; calculating a third difference based on a first difference and a second difference, the first difference being based on a difference between the first normal score and the second normal score, the second difference being based on a difference between the first normal score and the third normal score; changing the neural network so that the third difference becomes smallest; inputting, to the changed neural network, fourth data that is unknown in terms of whether the fourth data is normal or abnormal; and determining whether the fourth data is normal or abnormal.
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