Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)
- Volume 1996 Issue 11
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- Pages.357-362
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- 1996
Densitometric features of cell nuclei for grading bladder carcinoma
세포핵 조밀도에 의한 방광암의 진행 단계
- Choi, Heung-Kook (Dept. of Biomedical Engineering, Medical Research Center, Seoul National University) ;
- Bengtsson, Ewert (Centre for Image Analysis, Uppsala University)
- Published : 1996.11.15
Abstract
A way of quantitatively describing the tissue architecture we have investigated when developing a computer program for malignancy grading of transitional cell bladder carcinoma. The minimum spanning trees, MST was created by connecting the center points of the nuclei in the tissue section image. These nuclei were found by thresholding the image at an automatically determined threshold followed by a connected component labeling and a watershed algorithm for separation of overlapping nuclei. Clusters were defined in the MST by thresholding the edge lengths. For these clusters geometric and densitometric features were measures. These features were compared by multivariate statistical methods to the subjective grading by the pathologists and the resulting correspondence was 85% on a material of 40 samples.
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