PHYSICALLY MOTIVATED MACHINE LEARNING SYSTEM FOR AN OPTIMIZED INTRAOCULAR LENS CALCULATION

    公开(公告)号:US20230057389A1

    公开(公告)日:2023-02-23

    申请号:US17759356

    申请日:2021-01-21

    IPC分类号: G06N20/00 G06N5/04 A61F2/16

    摘要: A computer-implemented method for determining the refractive power of an intraocular lens to be inserted is presented. The method includes generating first training data for a machine learning system on the basis of a first physical model for a refractive power for an intraocular lens and training the machine learning system by means of the first training data generated, for the purposes of forming a first learning model for determining the refractive power. Furthermore, the method includes training the machine learning system, which was trained using the first training data, using clinical ophthalmological training data for forming a second learning model for determining the refractive power and providing ophthalmological data of a patient and an expected position of the intraocular lens to be inserted. Moreover, the method includes predicting the refractive power of the intraocular lens to be inserted by means of the trained machine learning system and the second learning model. In the process, the ophthalmological data provided and the position of the intraocular lens are used as input values for the machine learning system with the second learning model.

    METHOD FOR CARRYING OUT A SHADING CORRECTION AND OPTICAL OBSERVATION DEVICE SYSTEM

    公开(公告)号:US20200098151A1

    公开(公告)日:2020-03-26

    申请号:US16584015

    申请日:2019-09-26

    摘要: A method for correcting a shading in a digital image of a three-dimensional observation object obtained by at least one image sensor of an optical observation device is provided. The three-dimensional observation object is illuminated by illumination light and an intensity distribution, and an inhomogeneity in an image brightness is present in the digital image of the three-dimensional observation object. The method includes ascertaining a topography of the three-dimensional observation object, correcting the inhomogeneity in the image brightness of the digital image based on the topography of the three-dimensional observation object and the intensity distribution of the illumination light. In addition, an optical observation system is provided to perform the method.

    VISUALIZATION SYSTEM AND METHOD FOR GENERATING HOLOGRAPHIC PRESENTATIONS FROM OPTICAL SIGNALS

    公开(公告)号:US20190294103A1

    公开(公告)日:2019-09-26

    申请号:US16360915

    申请日:2019-03-21

    IPC分类号: G03H1/00 G03H1/22 G03H1/04

    摘要: A visualization system includes an optical recording unit configured to capture optical signals characterizing at least one partial region of an object, a 3D reconstruction unit configured to ascertain spatial data sets, which describe the partial region of the object, based on the captured optical signals, a hologram computational unit configured to ascertain control data for producing a holographic presentation based on the spatial data sets of the partial region of the object, and a visualization unit configured to visualize a holographic presentation of the at least one partial region of the object for a user of the visualization system based on the control data. In addition, a suitable method for producing holographic presentations from optical signals is provided.

    MICROSCOPE SYSTEM WITH DEPTH PREVIEW AND MICROSCOPY METHOD
    8.
    发明申请
    MICROSCOPE SYSTEM WITH DEPTH PREVIEW AND MICROSCOPY METHOD 审中-公开
    具有深度预测和微观方法的微观系统

    公开(公告)号:US20150346472A1

    公开(公告)日:2015-12-03

    申请号:US14723162

    申请日:2015-05-27

    IPC分类号: G02B21/00 G02B21/36 G02B21/06

    摘要: A microscope system includes a microscope for generating a microscopic image of an observation region to be examined and a display unit for visualizing the microscopic image. The system further includes a registration unit and an evaluation unit. The registration unit is configured to register the three-dimensional structure of an observation object from available data to the position of the observation object in the observation region. The evaluation unit is configured to calculate a depth preview map of the three-dimensional structure of the observation object from available data and to transmit the depth preview map to the display unit for visualizing the three-dimensional structure in relation to the position of the observation object in the observation region.

    摘要翻译: 显微镜系统包括用于产生要检查的观察区域的显微图像的显微镜和用于使显微镜图像可视化的显示单元。 该系统还包括注册单元和评估单元。 注册单元被配置为将观察对象的三维结构从可用数据注册到观察区域中的观察对象的位置。 评估单元被配置为从可用数据计算观察对象的三维结构的深度预览图,并将深度预览图发送到显示单元,用于相对于观察位置可视化三维结构 对象在观察区域。

    MACHINE-LEARNING-BASED DETERMINING OF REFRACTIVE POWER FOR MEASURES FOR CORRECTING EYESIGHT FROM OCT IMAGES

    公开(公告)号:US20230084284A1

    公开(公告)日:2023-03-16

    申请号:US17759360

    申请日:2021-01-21

    摘要: The invention relates to a computer-implemented method and a corresponding system for a machine-learning-supported determining of refractive power for a measure for correcting the eyesight of a patient. The method involves providing a scan result of an eye, wherein the scan result represents an image of an anatomical structure of the eye. The method also involves supplying the scan result as input data to a first machine-learning system in the form of a convolutional neural network, and using output values of the first machine-learning system as input data for a second machine-learning system in the form of a multi-layer perceptron, and a target refraction value for the second machine-learning system is used as an additional input value for the second machine-learning system. Finally, the method involves determining parameters for the measure for correcting the eyesight of a patient via an immediate and direct cooperation of the first machine-learning system and the second machine-learning system.