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DEFECT DETECTION IN LYOPHILIZED DRUG PRODUCTS WITH CONVOLUTIONAL NEURAL NETWORKS
DEFECT DETECTION IN LYOPHILIZED DRUG PRODUCTS WITH CONVOLUTIONAL NEURAL NETWORKS
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机译:卷积性神经网络冻干药品中的缺陷检测
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摘要
In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
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