Tumor image segmentation methods, devices, and electronic equipment

CN118212407BActive Publication Date: 2026-05-26PEKING UNIV +2
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Patent Information

Application Number
CN202410274716.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-03-11
Publication Date
2026-05-26
Estimated Expiration
2044-03-11

AI Technical Summary

Technical Problem

Existing tumor segmentation models are unable to perform accurate segmentation in complex medical tumor image segmentation scenarios and are difficult to incorporate human expertise.

Method used

A tumor segmentation model, including an encoder, decoder, and multi-scale attention module, is adopted. Feature fusion processing is performed by combining interaction points sampled from the original tumor image of the target object. The segmentation model includes a multi-scale attention module for feature fusion and upsampling to generate the target tumor image.

Benefits of technology

It achieves accurate segmentation of tumor regions in complex medical image segmentation scenarios, improving the automation and accuracy of tumor segmentation.

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Abstract

This application discloses a method, apparatus, and electronic device for tumor image segmentation. The method includes: acquiring an original tumor image to be segmented, wherein the original tumor image is an image obtained after a CT scan of the target organ of the target object; segmenting the original tumor image using a tumor segmentation model to obtain a target tumor image corresponding to the tumor region; wherein the tumor segmentation model includes an encoder, a decoder, and a multi-scale attention module, the multi-scale attention module performing feature fusion processing on the original tumor image by combining interaction points sampled from the target object in the original tumor image; and displaying the target tumor image. This application solves the technical problem of poor accuracy in tumor segmentation in related technologies.
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Citation Information

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