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A method of providing a learning-based diagnostic support model for at least one diagnostic system

机译:一种为至少一个诊断系统提供基于学习的诊断支持模型的方法

摘要

The invention relates to a method for providing a learning-based diagnostic support model (DM) for at least one diagnostic system (D) and an associated cloud system (C). The method comprises the following method steps: a) providing person-specific diagnostic and / or imaging parameters to the at least one diagnostic system and b) checking whether a correction of the same is necessary, c) providing feedback data (F) which is such a correction Represent diagnostic and / or imaging parameters, if such a correction is necessary, d) and store them in a network accessible central cloud system (C), e) specify training data from the feedback data, f) generate a new and / or fit g) providing the generated and / or adapted diagnostic support model for the at least one diagnostic system.
机译:本发明涉及一种用于为至少一个诊断系统(D)和相关联的云系统(C)提供基于学习的诊断支持模型(DM)的方法。该方法包括以下方法步骤:a)向至少一个诊断系统提供个人特定的诊断和/或成像参数; b)检查是否需要对其进行校正; c)提供反馈数据(F)此类校正代表​​诊断和/或成像参数,如果有必要进行此类校正,则d)并将其存储在网络可访问的中央云系统(C)中,e)从反馈数据中指定训练数据,f)生成新的和g)提供为至少一个诊断系统生成和/或调整的诊断支持模型。

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