Residual-attention-based polyp image segmentation method and device, equipment and medium
A technology of attention and residual error, applied in the field of image processing, can solve the problems of low polyp image segmentation accuracy and residual error, and achieve the effect of improving segmentation accuracy
Active Publication Date: 2022-07-12
SHENZHEN UNIV
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[0003] The embodiment of the present invention provides a polyp image segmentation method, device, equipment and medium based on residual double attention, aiming to solve the problem of low accuracy of existing polyp image segmentation
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[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0027] It is to be understood that, when used in this specification and the appended claims, the terms "comprising" and "comprising" indicate the presence of the described features, integers, steps, operations, elements and / or components, but do not exclude one or The presence or addition of a number of other features, integers, steps, operations, elements, components, and / or sets thereof.
[0028] It should also be understood that the termi...
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The embodiment of the invention discloses a polyp image segmentation method and device based on residual double attention, equipment and a medium. The invention relates to the technical field of image processing, and the method comprises the steps: obtaining an endoscope image, carrying out the feature extraction of the endoscope image, obtaining a plurality of low-level features and a plurality of high-level features, and enabling the plurality of low-level features to comprise a first low-level feature, a second low-level feature and a third low-level feature; performing feature enhancement fusion on the plurality of high-level features and the third low-level features to obtain global features; according to the global feature, the plurality of high-level features and the third low-level feature, residual dual attention learning is carried out through a residual dual attention method to obtain a target residual dual attention feature; and inputting the target residual dual attention features after convolution and up-sampling into an activation function to obtain a polyp segmentation map. According to the embodiment of the invention, the segmentation accuracy of the polyp image can be improved.
Description
technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a method, device, device and medium for segmentation of polyp images based on residual dual attention. Background technique [0002] Colorectal cancer, including colon cancer and rectal cancer, is a high-incidence malignant tumor, and most colorectal cancers evolve from polyps on the colon or rectum. important. In the prior art, endoscopy is considered to be the gold standard for diagnosing nodal polyps because it facilitates doctors to visually observe the morphological characteristics of lesions. However, endoscopy is highly dependent on experienced clinicians. Endoscopy images take a long time, which greatly reduces the screening efficiency of polyps, and polyps usually show the characteristics of large changes in color and texture, different sizes, and irregular shapes and edges, which make the boundaries unclear and difficult to locate. Greatly reduce...
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IPC IPC(8): G06T7/11G06T7/194G06T7/00G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/11G06T7/194G06T7/0012G06N3/08G06T2207/10068G06T2207/30032G06N3/048G06N3/045G06F18/253
Inventor 岳广辉魏佩珊周恒武泓吕周天薇汪天富
Owner SHENZHEN UNIV