Cell Image Segmentation by Contour Following Method with Directional Angle
This paper proposes the new method based on contour following method with Directional angle to segment the cell image into the nuclei. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal (two types of abnormal: follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully segmented by proposed method in this paper. Improved method of digital image analysis required in basic medical science for diagnosis of cells was proposed. The object image was the Thyroid Gland cell image with difference of chromatin patterns. To segment the cell nucleus from background, the region segmentation algorithm by edge tracing was proposed. After construct a feature sample group of each cell, experiment of segmentation was executed with any verification cells. As a result of experiment using features proposed in this paper, Get a better segmentation rate than previously reported papers. And this method gives shape to get objectivity and fixed quantity in diagnosis of cells. The methods described in this paper can be used immediately for discrimination of neoplastic cells.
KeywordsSegmentation Contour following method Directional angle
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