Clinical target region identification method and device applied to cervical cancer radiotherapy

Abstract

The invention discloses a clinical target region identification method and device applied to cervical cancer radiotherapy, and the method comprises the steps: obtaining a to-be-identified target image which is a 3D cervical cancer CT image; identifying the target image based on a target segmentation network model to obtain a segmentation result, the target segmentation network model being a neural network model generated by training based on a training sample corresponding to a 3D cervical cancer CT image, and the segmentation result being a to-be-determined radiotherapy clinical target region identified by the target segmentation network model; and based on the segmentation result, determining a cervical cancer target radiotherapy clinical target region. According to the invention, cervical cancer radiotherapy clinical target area sketching is realized based on the target segmentation network model, the efficiency and accuracy of cervical cancer radiotherapy clinical target area automatic sketching are improved, and the labor cost is reduced.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a method and device for identifying a clinical target area in radiotherapy for cervical cancer. Background technique [0002] Cervical cancer is one of the most common gynecological malignancies, which seriously endangers the health and life of women in my country. In the clinical treatment of cervical cancer, radiotherapy (referred to as radiotherapy) has become the main treatment. With the continuous development of imaging, the current radiotherapy technology has developed from two-dimensional radiotherapy to three-dimensional radiotherapy, four-dimensional radiotherapy technology, and radiotherapy dose allocation has also developed from point dose to volume dose allocation. The implementation process of radiotherapy mainly includes image acquisition, target area delineation, radiotherapy plan formulation and radiotherapy plan implementation, etc. Among them,...

AI Technical Summary

Problems solved by technology

This method of manual delineation has the following problems: the manual delineation process will occupy a lot of working time for doctors, which is time-consuming and laborious; relying on the subjective experience of doctors, it is easy to cause misjudgment; the size of the target area in some images is small, and the human eye has limitations, which may Part of the target area will be missed, resulting in missed judgment

It can be seen that the existing methods of artificially delineating clinical target areas of tumors based on medical images can no longer meet the actual application requirements.

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