| In recent years,the incidence of cervical carcinoma has been increasing and more and more young women were attacked by this disease.Fortunately,benefit from the development of nuclear magnetic resonance imaging,medical images can be used to distinguish the differences between normal tissue and cancer tissue of the neck of uterus.Since the volume of the neoplasm is quite small,the cervical carcinoma images should be segmented,which offers a basis of the posterior diagnosis.Approaches of image segmentation can be categorized into three groups,i.e.,automatic segmentation,semi-automatic segmentation and manual segmentation.However,manual segmentation is time-consuming,labor-intensive,and automatic segmentation is not targeted.The semi-automatic method has strong controllability,simple method,and does not depend on the number of samples.It can be used for early intervention in the project.In view of the above situation,the paper firstly studied the imaging characteristics of cervical cancer and the current semi-automatic image segmentation method based on Snake model.According to the MRI image of cervical cancer,the paper proposes to use Balloon Snake model to segment the MRI image of cervical cancer tumor imaging.Secondly,the paper design and implement the cervical cancer nuclear magnetic resonance image segmentation system based on the Balloon Snake model,introduce the system function and implementation,and provide guidance for the automatic adjustment of the system parameters.and scalability of the segmentation system.On the one hand,segmentation and contrast segmentation effects of the same group of cervical cancer MR images verify the superiority of the system.On the other hand,the system of this article is applied to other medical image segmentation to verify the scalability of the system.The results show that the system not only has a good segmentation effect on cervical cancer MRI images,but also has a stable segmentation effect on other medical images. |
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