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6th ESACP Congress, Heidelberg, April 7-11, 1999 |
A045
We analyzed immunohistochemistrically stained cell nuclei for a color image
of breast carcinoma tissue sections taken from patients to diagnose
objectively the degree of the progression. The purpose of our research is to
detect the degree of the distribution of positive objects and negative
objects on an image. The digitized images(40x) were obtained 4 µm thick
paraffin wax sections and a pixel size about 0.4 µm. The color images
showed a difficulty to distinguish between light brown color and light blue
color because we transformed from RGB to HLS for visualization. Our analysis
is based on two different methods. One is to compute the area proportions of
the positive objects. The other is to count cell nuclei of the positive
objects. We used a thresholding histogram of three RGB band images and box
classifications in a RGB color space to calculate object areas. However, the
segmented image appeared with noises and holes in the objects. Small
objects of the area less than 60 pixels were removed and filled with holes. We
obtained the result 21.2% for the training set. The results of test images
obtained 52.2% and 55.6%. The total segmented cell nucleus number divided by
the positive cell nucleus number and the results obtained 17% for the
training set. The test image obtained 57% and 73%. These results have a good
correlation with visual inspection by pathologist.
QUANTIFICATION OF IMMUNOHISTOCHEMISTRICALLY STAINED CELL NUCLEI OF BREAST
CARCINOMA TISSUE SECTIONS
Choi HK 1, Heo MK 1, Choi HJ 1, Nam SH 2, Seo JW 3
1) Department of Computer Sience and 2) Biomedical Engineering, Inje
University, Kim-Hae Kyung-Nam, 3) Department of Pathology,
Seoul National University, Chongu-Gu, Seoul, Korea