Mammary gland molybdenum target image segmentation method and device, terminal and storage medium

Abstract

The embodiment of the invention discloses a mammary gland molybdenum target image segmentation method and device, a terminal and a storage medium, and the mammary gland molybdenum target image segmentation method comprises the steps: obtaining a mammary gland molybdenum target image, and adjusting the contrast of the mammary gland molybdenum target image according to the pixel value of the mammarygland molybdenum target image; inputting the contrast-adjusted mammary gland molybdenum target image into a pre-trained image segmentation model, so as to output a pre-segmented image of the breast region according to the image segmentation model; and performing region filling and / or elimination processing on the pre-segmented image to obtain a target segmented image of the breast region. By adjusting the contrast of the mammary gland molybdenum target image, the difference between a background region and a foreground region (a breast region and a non-breast tissue region) can be highlighted;pre-segmentation of a breast region in the mammary gland molybdenum target image can be realized through a pre-trained image segmentation model; and by performing region filling and / or elimination processing on the pre-segmented image, the breast segmentation precision can be improved, and front-end display and subsequent breast lump and calcification research are facilitated.

Description

technical field [0001] Embodiments of the present invention relate to image segmentation technologies, and in particular to a segmentation method, device, terminal and storage medium for mammography images. Background technique [0002] At present, mammography examination, also known as molybdenum-palladium examination, uses low-dose X-rays to scan the breast, and obtains high-resolution mammography images through breast tissue absorbing X-rays to varying degrees. By performing breast segmentation on the mammography image, the information of the region of interest in the image can be determined, for example, the type of the region of interest is determined as calcification or mass. Compared with artificial breast examination, more complete and accurate breast information can be obtained through mammography, and the examination method is simple, reliable, non-invasive, reproducible, not limited by age and body shape, so it has been used as a routine breast examination means....

AI Technical Summary

Problems solved by technology

The shortcomings of the existing methods include at least: the binary image obtained by segmentation network segmentation is relatively rough, which is not conducive to front-end display and subsequent research on breast masses and calcifications

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