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ARTIFICIAL INTELLIGENCE PROCESSING SYSTEM AND AUTOMATED PRE-DIAGNOSTIC WORKFLOW FOR DIGITAL PATHOLOGY

机译:人工智能处理系统和自动化的数字病理学预诊断工作流程

摘要

A digital pathology system comprising an AI processing module configured to invoke an instance of an AI processing application for processing image data from a histological image and an application module configured to invoke an instance of an application operable to perform an image processing task on a histological image associated with a patient record, wherein the image processing task includes an AI element. The application creates processing jobs to handle the AI elements of its task which are handled by the AI processing module. The AI processing module may be a CNN that processes a histological image to identify tumors by classifying image pixels into one of multiple tissue classes of tumorous or non-tumorous tissue. A test ordering module automatically determines based on identified tissue classes whether additional tests should be performed on the tissue sample. For each additional test, an order is automatically created and submitted. Advantageously, upon first review by a pathologist, the patient record includes the histological image and results from the automatically ordered additional tests.
机译:一种数字病理系统,其包括AI处理模块,其被配置为从组织学图像和被配置为调用可操作以调用用于执行组织学图像的图像处理任务的应用程序的实例的应用程序模块来调用AI处理应用程序的实例与患者记录相关联,其中图像处理任务包括AI元素。该应用程序创建处理作业以处理其任务的AI元素,由AI处理模块处理。 AI处理模块可以是通过将图像像素分类为肿瘤或非肿瘤组织的多种组织类中的一种来处理组织学图像以识别肿瘤的CNN。测试订购模块基于识别的组织类自动确定是否应在组织样本上执行其他测试。对于每次额外测试,会自动创建并提交订单。有利地,在第一审查病理学家的首次审查时,患者记录包括组织学图像和来自自动有序的附加测试的结果。

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