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Method and system for classifying and identifying individual cells in a microscopic image

机译:用于分类和识别显微图像中单个细胞的方法和系统

摘要

In a method and system for identifying objects in an image, an image and training data are received. The training data identifies a pixel associated with an object of a particular type in the image. A plurality of filtered versions of the image are developed. The training data and the plurality of filtered versions of the image are processed to develop a trained model for classifying pixels associated with objects of the particular type. The trained model is applied to the image to identify pixels associated a plurality of objects of the particular type in the image. Additional image processing steps are developed to further refine the identified pixels for better fitting of the contour of the objects with their edges.
机译:在用于识别图像中的对象的方法和系统中,接收图像和训练数据。训练数据标识与图像中特定类型的对象关联的像素。显影图像的多个过滤版本。处理训练数据和图像的多个滤波版本以开发训练模型,以对与特定类型的对象相关联的像素进行分类。将训练后的模型应用于图像以识别与图像中特定类型的多个对象相关联的像素。开发了附加的图像处理步骤以进一步细化所识别的像素,以更好地使物体的轮廓与其边缘相匹配。

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