Medical Image Segmentation Based on Modified Ant Colony Algorithm with GVF Snake Model

2008 ◽  
Author(s):  
Lei Li ◽  
Yuemei Ren ◽  
Xiangpu Gong
Keyword(s):  
Image Segmentation ◽  
Medical Image ◽  
Ant Colony Algorithm ◽  
Medical Image Segmentation ◽  
Ant Colony ◽  
Snake Model

scholarly journals Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Wu Zhou ◽  
Yaoqin Xie
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Medical Image ◽  
Surgical Planning ◽  
Active Contour Model ◽  
Clinical Applications ◽  
Medical Image Segmentation ◽  
Interactive Segmentation ◽  
Snake Model ◽  
Segmentation Methods

Image segmentation is typically applied to locate objects and boundaries, and it is an essential process that supports medical diagnosis, surgical planning, and treatments in medical applications. Generally, this process is done by clinicians manually, which may be accurate but tedious and very time consuming. To facilitate the process, numerous interactive segmentation methods have been proposed that allow the user to intervene in the process of segmentation by incorporating prior knowledge, validating results and correcting errors. The accurate segmentation results can potentially be obtained by such user-interactive process. In this work, we propose a novel framework of interactive medical image segmentation for clinical applications, which combines digital curves and the active contour model to obtain promising results. It allows clinicians to quickly revise or improve contours by simple mouse actions. Meanwhile, the snake model becomes feasible and practical in clinical applications. Experimental results demonstrate the effectiveness of the proposed method for medical images in clinical applications.

Design of Superpiexl U-Net Network for Medical Image Segmentation

2019 ◽  
Vol 31 (6) ◽  
pp. 1007 ◽  
Author(s):  
Haiou Wang ◽  
Hui Liu ◽  
Qiang Guo ◽  
Kai Deng ◽  
Caiming Zhang
Keyword(s):  
Image Segmentation ◽  
Medical Image ◽  
Medical Image Segmentation
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