Construction method of image segmentation model and image segmentation method and system

Abstract

The invention relates to the technical field of image segmentation, and discloses a construction method of an image segmentation model, and an image segmentation method and system, and the method comprises the steps: collecting a plurality of oral medical images, and obtaining an oral medical image sample set; labeling the leukoplakia area of the oral medical image to obtain a leukoplakia area labeling sample set of the oral medical image; inputting the oral medical image leukoplakia region labeling sample set into a Mask R-CNN-S neural network to obtain a binary mask image set of leukoplakiaregions; training a pre-constructed Mask R-CNN-S neural network model, so as to obtain a trained Mask R-CNN-S neural network model; collecting a to-be-segmented oral medical image and labeling the to-be-segmented oral medical image to obtain a labeled sample set of the to-be-segmented oral medical image; and segmenting the oral medical image to finally obtain a segmented image. According to the invention, the accuracy of segmenting the leukoplakia area from the oral medical image can be improved.

Description

technical field [0001] The invention relates to image processing, in particular to a method for constructing an image segmentation model, an image segmentation method and a system. Background technique [0002] With the development of medical imaging technology, medical imaging plays an indispensable role in medical diagnosis. The rapid development of computer-aided diagnosis technology can use computer-aided processing and analysis of medical images to help doctors make correct judgments on diseases. . As the first stage of medical image processing, medical image segmentation is of great significance to medical image analysis and visualization. Medical image segmentation is the basis of lesion area extraction, organ tissue measurement and 3D reconstruction. Standards and other aspects also played an irreplaceable role. [0003] Oral leukoplakia (OLK) is a precancerous condition that doctors usually assess in patients by observing them for the presence or absence of OLK. ...

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Problems solved by technology

[0005] In view of the above-mentioned problems or defects in the prior art, the purpose of the present invention is to provide a method for constructing an image segmentation model, an image segmentation method and a system, so as to solve the problem of unclear segmentation of oral leukoplakia in the prior art

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