IMAGE DETECTION METHOD AND RELEVANT MODEL TRAINING METHOD, RELEVANT APPARATUSES, AND DEVICE

摘要

Provided are an image detection method and a relevant model training method, relevant apparatuses, and a device. The image detection model training method comprises: acquiring a sample medical image, an actual region of at least one unlabeled organ being pseudo-labeled on the sample medical image; using an original detection model to detect the sample medical image, so as to obtain a first detection result comprising a first prediction region of the unlabeled organ; using the image detection model to detect the sample medical image to obtain a second detection result comprising a second prediction region of the unlabeled organ, the network parameters of the image detection model being determined on the basis of the network parameters of the original detection model; and adjusting the network parameters of the original detection model by using a difference between the first prediction region and the actual region and a difference between the first prediction region and the second prediction region, respectively.