A method for locating and identifying a lesion of a medical image, a device, an equipment and a storage medium

Abstract

The invention provides a method for locating and identifying a lesion of a medical image, a device, an equipment and a storage medium. The method comprises the following steps of obtaining a target image, wherein the target image is a medical image to be localized and identified; preprocessing the target image to obtain a preprocessed image; inputting the pre-processed images into the pre-established lesion location recognition model, and obtaining the corresponding lesion location indication map of the target image and the lesion classification in the target image; obtaining the lesion location recognition model by training medical images with the lesion classification labeled; The lesion location recognition model based on that present application can automatically detect a lesion from amedical image, the location of the lesion is given, which not only saves manpower and reduces the time consumed in identifying and locating the lesion, but also avoids the misdiagnosis, missed diagnosis, locating and identifying lesion caused by manual locating and locating the lesion, which can also assist doctors to carry out rapid and accurate analysis, and improves the diagnosis efficiency and accuracy of doctors.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular to a method, device, equipment and storage medium for locating and identifying lesions in medical images. Background technique [0002] In actual clinical diagnosis in the medical field, it is necessary to locate and identify lesions from medical images (such as DR images, X-ray films, CT light films, MRI, etc.). The diagnosis method in the prior art is manual diagnosis, which requires doctors to locate and identify lesions in medical images with naked eyes. However, in some cases, doctors need to screen a large number of medical images, and the workload of doctors will be greater. Therefore, manual diagnosis is time-consuming and laborious, and manual screening is highly subjective, and it is easy to cause fatigue due to fatigue. Missed diagnosis, misdiagnosis. SUMMARY OF THE INVENTION [0003] In view of this, the present application provides a method for ...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the present application provides a method for locating and identifying lesions in medical images, which is used to solve the problems of manual locating and identifying lesions in the prior art, which is time-consuming and laborious, and is highly subjective, and it is easy to cause missed diagnosis and misdiagnosis due to fatigue. , its technical scheme is as follows:

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