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    COMPUTER-IMPLEMENTED METHOD FOR LOCATING POSSIBLE ARTIFACTS IN A VIRTUALLY STAINED HISTOLOGY IMAGE
    51.
    发明申请
    COMPUTER-IMPLEMENTED METHOD FOR LOCATING POSSIBLE ARTIFACTS IN A VIRTUALLY STAINED HISTOLOGY IMAGE 有权

    公开(公告)号：US20210279875A1

    公开(公告)日：2021-09-09

    申请号：US17188866

    申请日：2021-03-01

    申请人： Carl Zeiss Meditec AG

    发明人： Stefan Saur ,  Christoph Hauger ,  Gerald Panitz

    IPC分类号： G06T7/00 ,  G06T7/269 ,  G06T7/13

    摘要： A computer-implemented method for locating possible artifacts in a virtually stained histology image, which was obtained from an initial histology image, is provided. In the method, at least one further image is generated on the basis of the virtually stained histology image or the initial histology image. The differences between the at least one further image and the virtually stained histology image are determined when the at least one further image has been generated on the basis of the initial histology image or the differences between the at least one further image and the initial histology image are determined when the at least one further image has been generated on the basis of the virtually stained histology image, and a mapping from the determined differences to their positions in the virtually stained histology image is created. The positions in the virtually stained histology image represent the positions of possible artifacts.

    Screen for an HMD
    54.
    发明授权
    Screen for an HMD 有权

    公开(公告)号：US10768428B2

    公开(公告)日：2020-09-08

    申请号：US16133061

    申请日：2018-09-17

    申请人： Carl Zeiss Meditec AG

    发明人： Stefan Saur ,  Marco Wilzbach ,  Christopher Käsbach

    IPC分类号： G02B27/01 ,  G09F9/30 ,  G02C7/10 ,  G02C7/12

    摘要： A screen (3) for an HMD (1) is provided, and may be designed as a display screen or as a projection screen. The screen (3) comprises a layer (19) of a material with a switchable degree of transparency and at least one further switchable layer (17, 21, 23) which, in dependence on the switching state, can assume at least two physical states, the physical states differently influencing at least one optical property of light passing through the switchable layer or reflected by it.

    Method for acquiring data with the aid of surgical microscopy systems
    57.
    发明授权
    Method for acquiring data with the aid of surgical microscopy systems 有权

    公开(公告)号：US12102386B2

    公开(公告)日：2024-10-01

    申请号：US17241844

    申请日：2021-04-27

    申请人： Carl Zeiss Meditec AG

    发明人： Stefan Saur ,  Alexander Urich

    IPC分类号： A61B3/10 ,  A61B3/13 ,  G02B21/00 ,  G06N20/00

    CPC分类号： A61B3/102 ,  A61B3/13 ,  G02B21/0012 ,  G06N20/00

    摘要： A method for acquiring data with the aid of a surgical microscopy system comprises recording a data set having a multiplicity of images and deciding whether or not the new data set ought to be stored in a data memory of a database. The decision is taken by an existing classifier. A new classifier is determined on the basis of training data which comprise the data sets stored in the data memory of the database and/or comprise data obtained from the data sets stored in the data memory of the database. The new classifier is then used instead of the existing classifier when deciding whether a subsequently recorded new data set ought to be stored.

    Scanning image generation apparatus and scanning image recording method
    58.
    发明授权
    Scanning image generation apparatus and scanning image recording method 有权

    公开(公告)号：US12051194B2

    公开(公告)日：2024-07-30

    申请号：US17185634

    申请日：2021-02-25

    申请人： Carl Zeiss Meditec AG

    发明人： Stefan Saur ,  Christoph Hauger ,  Gerald Panitz

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T2207/10056 ,  G06T2207/10068 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

    摘要： A scanning image generation apparatus is provided and includes an image information acquisition unit for scanning grid points of an object and for acquiring, on the basis of the scanned grid points, items of image information that represent an image. An evaluation unit has a software routine for evaluating at least some of the items of image information and for classifying the items of image information as usable or unusable on the basis of the evaluation. The apparatus also includes a release unit which enables an image recording if the evaluated items of image information are classified as usable by the evaluation unit. The scanning image generation apparatus moreover includes a memory with at least one quality profile stored thereon. The quality profile contains a person-specific software routine for evaluating and classifying the items of image information. The software routine is loadable into the evaluation unit.

    INCREASING A TRAINING DATA VOLUME FOR IMPROVING A PREDICTION ACCURACY OF AN AI-BASED IOL DETERMINATION
    59.
    发明公开
    INCREASING A TRAINING DATA VOLUME FOR IMPROVING A PREDICTION ACCURACY OF AN AI-BASED IOL DETERMINATION 审中-公开

    公开(公告)号：US20240233942A9

    公开(公告)日：2024-07-11

    申请号：US18492985

    申请日：2023-10-24

    申请人： Carl Zeiss Meditec AG

    发明人： Hendrik Burwinkel ,  Michael Trost ,  Nicolas Bensaid ,  Stefan Saur

    IPC分类号： G16H50/20

    CPC分类号： G16H50/20

    摘要： A computer-implemented method for increasing a training data volume for a machine learning system for determining an initial refractive power value for an intraocular lens to be inserted is described. The method includes measuring a group of ophthalmological biometry data of a patient and determining an initial refractive power value for the intraocular lens to be inserted by a trained machine learning system. The measured ophthalmological biometry data and a postoperative target refraction value are used as input data for the trained machine learning system. The method also includes measuring a postoperative refractive results value, assigning the postoperative refractive results value to the measured ophthalmological biometry data of the patient, and determining an importance indicator value for the new training data record.

    INCREASING A TRAINING DATA VOLUME FOR IMPROVING A PREDICTION ACCURACY OF AN AI-BASED IOL DETERMINATION
    60.
    发明公开
    INCREASING A TRAINING DATA VOLUME FOR IMPROVING A PREDICTION ACCURACY OF AN AI-BASED IOL DETERMINATION 审中-公开

    公开(公告)号：US20240136066A1

    公开(公告)日：2024-04-25

    申请号：US18492985

    申请日：2023-10-23

    申请人： Carl Zeiss Meditec AG

    发明人： Hendrik Burwinkel ,  Michael Trost ,  Nicolas Bensaid ,  Stefan Saur

    IPC分类号： G16H50/20

    CPC分类号： G16H50/20

    摘要： A computer-implemented method for increasing a training data volume for a machine learning system for determining an initial refractive power value for an intraocular lens to be inserted is described. The method includes measuring a group of ophthalmological biometry data of a patient and determining an initial refractive power value for the intraocular lens to be inserted by a trained machine learning system. The measured ophthalmological biometry data and a postoperative target refraction value are used as input data for the trained machine learning system. The method also includes measuring a postoperative refractive results value, assigning the postoperative refractive results value to the measured ophthalmological biometry data of the patient, and determining an importance indicator value for the new training data record.