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Computer-aided image analysis of histopathology specimens could potentially provide support for early detection and improved characterization of diseases such as brain tumor, pancreatic neuroendocrine tumor (NET), and breast cancer. Automated nucleus segmentation is a prerequisite for various quantitative analyses including automatic morphological feature computation. However, it remains to be a challenging...
We present a study of the spatial variation of nuclear morphology of stromal and cancer-associated fibroblasts in the mouse mammary gland. The work is part of a framework being developed for the analysis of the tumor microenvironment in breast cancer. Recent research has uncovered the role of stromal cells in promoting tumor growth and progression. In specific, studies have indicated that stromal...
Today Breast cancer is the leading cause of death of women. Currently the effective method for early detection and screening of breast cancers is Ultrasonography. But the high rate of false positives in mammography causes a large number of unnecessary biopsies. Ultrasonography is an important adjunct to mammography in breast cancer detection. The accuracy rate of breast ultrasound can reach a high...
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