Retinal vascular image segmentation method and system based on differential attention

Abstract

The invention belongs to the field of medical image segmentation, and provides a retinal vascular image segmentation method and system based on differential attention. The method comprises the following steps: acquiring a retinal vascular image; and obtaining a retinal fundus vascular image segmentation result based on the retinal vascular image and a differential attention-based multi-scale residual network, wherein the differential attention-based multi-scale residual network comprises a multi-scale input module, an encoder module, a differential amplification module and a decoder module; the multi-scale input module is used for extracting multi-scale information of the retinal vascular image; the encoder module is used for encoding the multi-scale information; the differential amplification module is used for extracting low-frequency information and high-frequency information of the encoded multi-scale information and then extracting features of the low-frequency information and the high-frequency information; and an attention mechanism is introduced into the decoder module, so that an attention degree of an area needing to be paid attention to is improved, irrelevant areas are inhibited, and the extracted low-frequency and high-frequency features are finally restored to original resolutions.

Description

technical field [0001] The invention belongs to the field of medical image segmentation, and in particular relates to a retinal blood vessel image segmentation method and system based on differential attention. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] As a non-invasive rapid diagnosis method for modern ophthalmic diseases, retinal fundus vessel segmentation is an important part of computer-aided clinical diagnosis of retinal diseases. It can help ophthalmologists diagnose certain retinopathy, such as retinal vascular occlusion, diabetic retinopathy, high blood pressure and glaucoma. The characteristics of these diseases can be obtained by observing changes in retinal blood vessels, such as shape, width, branching pattern, etc. Early detection and diagnosis can help potential patients to carry out effective prevention and treatment...

AI Technical Summary

Problems solved by technology

Although these methods perform well, they inevitably make the network more complex. When the feature accumulation reaches the limit, it may not be possible to extract small blood vessel parts, resulting in unsatisfactory segmentation results.

Images