Method, device, equipment for segmentation of lesion in biological image and storage medium

Abstract

The present invention provides a method, device, equipment for the segmentation of a lesion in a biological image and a storage medium. The method comprises a step of acquiring a target biological image, a step of performing coarse segmentation processing on the target biological image and obtaining a coarse segmentation mask after the rough segmentation processing, wherein the coarse segmentationmask includes information of candidate lesions in the target biological image, a step of identifying a non-real lesion from the candidate lesions, correcting the rough segmentation mask based on a recognition result such that the information of an identified non-real lesion is not included in the coarse segmentation mask and a target segmentation mask obtained after the correction is used as a lesion segmentation mask corresponding to the target biological image. According to the method, the device, the equipment and the storage medium, the lesion can be automatically positioned from the target biological image, the mode is labor-saving, the time consumption of the positioning of the lesion is reduced, misdiagnosis and missed diagnosis caused by the manual positioning of the lesion are avoided, the positioned lesion can also assist the doctor to carry out fast and accurate analysis, and the diagnostic efficiency and diagnostic accuracy of doctors are improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a lesion segmentation method, device, equipment and storage medium in biological images. Background technique [0002] In the actual clinical diagnosis in the medical field, it is necessary to locate the lesion from the biological image, so as to locate the cause of the lesion. The diagnosis method in the prior art is manual diagnosis, that is, the doctor needs to locate the lesions in the biological image with the naked eye. However, some biological images are very large, but the lesions in the biological image are small, such as fundus images, and the resolution of fundus images The resolution is generally 4000*3000 pixels, and some small lesions in the fundus image may only occupy dozens of pixels, and the size of different lesions is also different, which undoubtedly brings great difficulties to doctors to locate lesions with the naked eye, especially when fa...

AI Technical Summary

Problems solved by technology

[0003] In view of this, the present invention provides a lesion segmentation method, device, equipment and storage medium in a biological image, which are used to solve the time-consuming and labor-intensive method of locating a lesion in a biological image in the prior art, and are highly subjective. , it is easy to cause missed diagnosis and misdiagnosis. The technical solution is as follows:

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