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State-of-the-Art in Medical Image Segmentation

JIANG Gui-Ping;QIN Wen-Jian;ZHOU Shou-Jun;WANG Chang-Miao;School of Biomedical Engineering,Southern Medical University;Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences;  
Medical image segmentation is the basis of various applications of medical image,which have shown more and more important values in the current clinical computer-assistant diagnosis,image guided surgery and radiological treatment.Many categories of medical images have been researched for clinical requirement such as the imaging systems of magnetic resonance(MR),computer tomography(CT),positron emission computed tomography(PET)and ultrasound(US),where MR imaging can produce image modalities with different time-parameter series.Therefore,technologies of medical image segmentation became a particular applied science system which serves for different imaging modalities,clinical object and anatomic site.Integrating with the existing research results from home and abroad,the paper gave detailed introduces and contrasts for current methods of medical image segmentation;the development trend of medical image segmentation technologies was also shown,based on investigation and analysis of six most prestigious scientific journals and conferences.
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