首页> 外国专利> DEVELOPING A TRAINING SET FOR A DEEP LEARNING SYSTEM CONFIGURED TO DETERMINE A CENTERLINE IN A THREE DIMENSIONAL IMAGE

DEVELOPING A TRAINING SET FOR A DEEP LEARNING SYSTEM CONFIGURED TO DETERMINE A CENTERLINE IN A THREE DIMENSIONAL IMAGE

机译:为配置为确定三维图像中心的深层学习系统开发训练集

摘要

Systems and methods for generating a training example to train artificial intelligence software to automatically determine a centerline of an elongated structure of three dimensional images. One system includes an electronic processor configured to receive a plurality of reference points for a subset of a plurality of slices of a first three dimensional image. Each of the plurality of reference points marks a centerline of the elongated structure within one of the subset of the plurality of slices. The electronic processor is configured to determine an order of the plurality of reference points and fit a spline curve to the plurality of reference points based on the order of the reference points to create the training example. The electronic processor is further configured use the training example to train the artificial intelligence software to automatically determine a centerline of an elongated structure in a second three dimensional medical image.
机译:用于生成训练示例以训练人工智能软件以自动确定三维图像的细长结构的中心线的系统和方法。一个系统包括电子处理器,该电子处理器被配置为接收用于第一三维图像的多个切片的子集的多个参考点。多个参考点中的每个参考点在多个切片的子集中的一个子集中的细长结构的中心线。电子处理器被配置为确定多个参考点的顺序,并且基于参考点的顺序将样条曲线拟合到多个参考点以创建训练示例。电子处理器还被配置为使用训练示例来训练人工智能软件以自动确定第二三维医学图像中的细长结构的中心线。

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