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Prediction of Treatment Strategy for Breast Cancer: Cell Counting of CK5/14/E-Cadherin/Ki-67 Triple Immunohistochemical Staining on Breast Cancer Tissue Section
|關鍵字:||Ki-67 proliferation index;triple immunohistochemical staining;inflammatory cells;stromal cells;image processing;Ki-67 proliferation index;triple immunohistochemical staining;inflammatory cells;stromal cells;image processing||摘要:||
Breast cancer ranks second on the worldly incidence of the cancer and first on the women's incidence of the cancer. It's also the top one for women's incidence of the cancer in our country. Breast cancer not only would invade the breast, but also may transfer. However, there are many ways to diagnose the breast cancer, and the important one of them is by justifying the biopsy. It's the traditional way that the doctor needs to evaluate at least one thousand cells artificially, and count the proportion of the positive breast cancer cells so that get the reliable Ki-67 Value-added index. That way spends much time and energy of the doctor, and there are difference results for the difference standards by different doctors. It also faces problems that unable to differentiating the inflammatory cells, stromal cells and normal cells on developing the automatic system. We use three kinds of the stained breast cancer tissue section images to solve the problems unable to differentiating the inflammatory cells, stromal cells and normal cells on developing the automatic system. First, use E-cadherin to mark the part of the breast cancer, and then use CK5/14 to dye which make myoepithelial cells marked so that remove the non-invasive cancer area. Last, dye with Ki-67 to observe the activity of the breast cancer cells. Then, a system for automatically counting the number of positive and negative breast cancer cells dyed by Ki-67 was proposed. The system adopts grayscale 117 as threshold to remove the area was not dyed by E-cadherin, to reserve the area of breast cancer cells. We found nucleus by mathematical morphology, run-length and watershed, then found myoepithelial cells through shapes. And remove the non-invasive breast cancer area according to the ratio of the coating. Finally, setting the threshold value to recognize the color of nucleus in order to calculate the ratio of Ki-67 positive and negative breast cancer cells. The counting accuracy of the system is 70.3%. The calculated Ki-67 proliferation index has only 6.5% average inaccuracy comparing with that of doctors. In addition to the exceptional case of the sixth image, after E-cadherin dying, the color became redder. On images with an average green channel that does not approach zero, the outcome of Kigo's diagnostic decision is the same as that of the pathologist.
|Appears in Collections:||基因體暨生物資訊學研究所|
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