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SLICE DEFECT DETECTION METHOD AND APPARATUS, AND ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

机译:切片缺陷检测方法和装置,以及电子设备和可读存储介质

摘要

A slice defect detection method and apparatus, an electronic device, and a readable storage medium, which relate to the technical field of intelligent decision making in artificial intelligence. The method comprises: inputting a slice set to be subjected to detection into a feature extraction branch of a trained slice defect detection model; inputting an obtained feature set into an up-sampling branch of the slice defect detection model, so as to obtain various defect areas and predicted defect categories corresponding to the various defect areas; inputting the feature set into a classification branch of the slice defect detection model, so as to obtain a second defect category distribution table; and acquiring second probability values of the predicted defect categories in the second defect category distribution table, and when the second probability values are greater than a preset threshold value, taking the predicted defect categories as target defect categories. By means of the method, the accuracy of detecting slice defect areas and defect categories is improved. In addition, the method further relates to blockchain technology, and can be applied to the field of smart medical treatment, thereby promoting the construction of a smart city.
机译:切片缺陷检测方法和装置,电子设备和可读存储介质,其涉及人工智能中智能决策技术领域。该方法包括:输入要进行检测的切片设置为培训的切片缺陷检测模型的特征提取分支;将所获得的特征设置为切片缺陷检测模型的上采样分支,以便获得各种缺陷区域和预测与各种缺陷区域对应的缺陷类别;将要素输入到切片缺陷检测模型的分类分支中,以便获得第二缺陷类别分发表;在第二缺陷类别分发表中获取预测缺陷类别的第二概率值,并且当第二概率值大于预设阈值时,将预测的缺陷类别作为目标缺陷类别。通过该方法,改善了检测切片缺陷区域和缺陷类别的准确性。此外,该方法还涉及区块链技术,并且可以应用于智能医疗领域,从而促进智能城市的结构。

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