Image classification method and device, computer equipment and readable storage medium

Abstract

The invention relates to an image classification method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining a to-be-classified medical image; inputting the medical image into a preset multi-task network model to obtain a segmentation result and an image classification result of key points in the medical image; the multi-task network model beingobtained by training according to a training sample with a key point label and a classification label; and when the segmentation result of the key points and the image classification result meet a preset condition, determining the shooting part represented by the image classification result as a target shooting part. According to the method, the computer equipment determines the shooting part inthe medical image by adopting the multi-task network model, so that the accuracy of a target shooting part result can be improved, and the accuracy of a subsequent focus identification process is further improved; a radiologist does not need to make a confirmation process, and meanwhile, the efficiency of a focus recognition process is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to an image classification method, apparatus, computer equipment and readable storage medium. Background technique [0002] X-rays (X-Rays) play an important role in the early detection of lung diseases, heart diseases, abdominal diseases and fractures due to their low price and better imaging results. Usually, after scanning the patient with medical equipment, the scanning technician submits the medical image to the corresponding radiologist for reading. [0003] Usually, when scanning a certain part of a patient, a scanning technician will input the scanned part label (for example, the current medical image is an abdominal image), and then the radiologist will identify the lesions in the medical image according to the part label. [0004] However, the traditional technology may record the wrong part label due to the mistake of the scanning technician, whic...

AI Technical Summary

Problems solved by technology

[0005] Based on this, it is necessary to provide an image classification method, device, computer equipment and readable storage medium for the problem that the efficiency and accuracy of the lesion identification process in the traditional technology are relatively low.

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