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SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR GENERALIZED DISEASE DETECTION

机译:用于处理广义疾病检测电子图像的系统和方法

摘要

Systems and methods are disclosed for generating a specialized machine learning model by receiving a generalized machine learning model generated by processing a plurality of first training images to predict at least one cancer characteristic, receiving a plurality of second training images, the first training images and the second training images include images of tissue specimens and/or images algorithmically generated to replicate tissue specimens, receiving a plurality of target specialized attributes related to a respective second training image of the plurality of second training images, generating a specialized machine learning model by modifying the generalized machine learning model based on the plurality of second training images and the target specialized attributes, receiving a target image corresponding to a target specimen, applying the specialized machine learning model to the target image to determine at least one characteristic of the target image, and outputting the characteristic of the target image.
机译:公开了用于通过接收通过处理多个第一训练图像而生成的广义机器学习模型来产生专用机器学习模型来预测至少一个癌症特性,接收多个第二训练图像,第一训练图像和第一训练图像和所述系统和方法第二训练图像包括组织标本的图像和/或算法生成的图像以复制组织标本,接收与多个第二训练图像的相应的第二训练图像相关的多个目标专用属性,通过修改来生成专用机器学习模型基于多个第二训练图像和目标专用属性的广义机器学习模型,接收对应于目标样本的目标图像,将专用机器学习模型应用于目标图像以确定目标图像的至少一个特征,以及输出C.目标图像的含量。

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