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TMB CLASSIFICATION METHOD AND SYSTEM BASED ON PATHOLOGICAL IMAGE, AND TMB ANALYSIS DEVICE BASED ON PATHOLOGICAL IMAGE

机译:基于病理图像的TMB分类方法和系统,基于病理图像的TMB分析装置

摘要

The present invention relates to a TMB classification method and system based on a pathological image, and a TMB analysis device based on a pathological image. The method comprises: performing TMB classification and marking and pre-processing on a known pathological image to construct a training set; training a convolutional neural network by means of the training set to construct a classification model; pre-processing a target pathological image of a target case to obtain a plurality of target image blocks; classifying the target image blocks by means of the classification model to obtain image block TMB classification results of the target case; and by means of all the image block TMB classification results, acquiring an image TMB classification result of the target case by means of classification voting. The present invention further relates to a TMB analysis device based on a pathological image. The TMB classification method of the present invention does not depend on samples other than a pathological image, has the advantages of being accurate, having a low cost and being rapid, and is of great value to tumor research.
机译:本发明涉及基于病理图像的TMB分类方法和系统,以及基于病理图像的TMB分析装置。该方法包括:在已知的病理图像上执行TMB分类和标记和预处理,以构建训练集;通过训练集训练卷积神经网络来构建分类模型;预处理目标情况的目标病理图像以获得多个目标图像块;通过分类模型对目标图像块进行分类,以获取目标情况的图像块TMB分类结果;并且通过所有图像块TMB分类结果,通过分类投票获取目标案例的图像TMB分类结果。本发明还涉及基于病理图像的TMB分析装置。本发明的TMB分类方法不依赖于除病理图像之外的样品,具有精确,具有低成本和快速的优点,对肿瘤研究具有很大的价值。

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