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METHOD AND APPARATUS FOR DETECTING TARGET OBJECT IN IMAGE, AND ELECTRONIC DEVICE AND STORAGE MEDIUM

机译:用于检测图像中的目标对象的方法和装置,以及电子设备和存储介质

摘要

A method and apparatus for detecting a target object in an image, and an electronic device and a storage medium, which relate to image analysis technology. The method comprises: performing noise reduction processing on a training image so as to obtain a standard training image, and performing target object detection on the standard training image using a target object detection model so as to obtain predicted centre point information, predicted size information and predicted boundary information; constructing a target loss function, calculating a loss value, and optimizing the target object detection model according to the loss value so as to obtain a standard target object detection model; and acquiring a target object image to be subjected to detection, and performing image detection on said target object image using the standard target object detection model so as to obtain a standard detection result. In addition, the method further relates to blockchain technology, and the standard detection result can be stored in a blockchain node. The method can be applied to the detection of lesion information in a medical image. By means of the method, the efficiency and accuracy of detecting a target object in an image can be improved.
机译:一种用于检测图像中的目标对象的方法和装置,以及与图像分析技术涉及的电子设备和存储介质。该方法包括:在训练图像上执行降噪处理,以便获得标准训练图像,并使用目标对象检测模型对标准训练图像执行目标对象检测,以便获得预测的中心点信息,预测大小信息和预测边界信息;构建目标损失函数,计算损耗值,并根据损耗值优化目标对象检测模型,以获得标准目标对象检测模型;并获取要进行检测的目标对象图像,并使用标准目标对象检测模型对所述目标对象图像进行图像检测,以便获得标准检测结果。另外,该方法还涉及区块链技术,并且标准检测结果可以存储在区块链节点中。该方法可以应用于医学图像中的病变信息的检测。借助于该方法,可以提高检测图像中的目标对象的效率和准确性。

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