Target organ contouring method and related products
By extracting high-frequency and low-frequency information from the image to be processed and performing upsampling fusion processing, the problem of insufficient feature image information in the existing technology is solved, and the accuracy of target organ contour segmentation is improved.
CN117078706BActive Publication Date: 2026-05-01SHENZHEN WEIDE PRECISION MEDICAL TECH CO LTD
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Patent Information
- Application Number
- CN202310036370.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-09
- Publication Date
- 2026-05-01
- Estimated Expiration
- 2043-01-09
AI Technical Summary
Technical Problem
Existing technologies extract features by downsampling the image to be processed, which results in insufficient information carried by the feature image, thus affecting the accuracy of the image segmentation results.
Method used
By extracting a first image containing high-frequency information and a second image containing low-frequency information from the image to be processed, and upsampling the second image, and then fusing it with the first image, the information of the feature image is enriched, and the accuracy of the segmentation result is improved.
Benefits of technology
By using a segmentation method based on the contour of the target organ, the accuracy of image segmentation results is enhanced, and the precision of target organ contour segmentation is improved.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses a target organ contour segmentation method and related products. The method comprises the following steps: acquiring a to-be-processed image, wherein the to-be-processed image comprises a target organ; extracting a first image containing high-frequency information and a second image containing low-frequency information from the to-be-processed image; performing up-sampling processing on the second image to obtain a third image; fusing the first image and the third image to obtain a fourth image; and segmenting the contour of the target organ in the to-be-processed image according to the fourth image to obtain a first segmentation image.
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