Blood Cell Identification and Segmentation by Means of Statistical Models
نویسندگان
چکیده
Automatic cell identification and segmentation are important steps for medical automation to greatly reduce human labors. The paper used a statistical model solving the practical issues in this problem, including construction of a training set, cell shape generalization, deformable model building, cell searching and segmentation. Practical experiments prove the validity of the proposed scheme. Key-Words: Cell; medical image; segmentation; statistical models; deformable shape
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