Segmentation model training method, OCT image segmentation method, device, equipment and medium

Abstract

The invention discloses a segmentation model training method, an OCT image segmentation method and device, equipment and a medium, and the method comprises the steps: obtaining a training sample imageset, and inputting an original OCT image into a preset generator model for segmentation processing; Comparing the first segmented image with a gold standard image through a preset discriminator model, calculating a loss function of the generator model according to a comparison result, and updating the generator model; Converting the first segmented image into a second segmented image, inputting the second segmented image and the gold standard image into a discriminator model, and updating the discriminator model according to the binary cross entropy; And performing iterative training on the updated generator model and the updated discriminator model, and determining the updated generator model after iteration training is stopped as an image focus segmentation model. According to the segmentation model training method, the performance of the segmentation model is improved in a countermeasure training mode, and the accuracy of the segmentation model is improved.

Description

technical field [0001] The present invention relates to the field of image detection, in particular to a segmentation model training method, an OCT image segmentation method, a device, a device and a medium. Background technique [0002] "OCT image" is the abbreviation of Optical Coherence Tomography (Optical Coherence Tomography). It mainly uses the basic principle of weak coherent optical interferometer to detect the reflection and scattering signals of incident weak coherent light at different depths of biological tissue, and then reconstruct biological tissue. Internal structure image is a non-contact, non-invasive tomographic imaging of biological tissues. OCT imaging equipment is used in ophthalmology, which can assist doctors to observe the normal tissue structure of the posterior segment of the eye (such as the macula, optic disc or retinal nerve fiber layer, etc.) The image is segmented to provide technical assistance for related medical procedures. [0003] Tradi...

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Problems solved by technology

[0004] Embodiments of the present invention provide a segmentation model training method, device, computer equipment, and storage medium to solve the problem of low segmentation performance of the segmentation model

[0005] In addition, an embodiment of the present invention provides an OCT image segmentation method, device, computer equipment, and storage medium to solve the problem of low lesion segmentation accuracy

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