The method for ovarian cancer recurrence prediction based on computerized lymphangiogenesis morphometry of the D2-40 stained images

摘要

Authors report a method for ovarian cancer relapse prediction based on image analysis of lymphangiogenesis D2-40 stained tumor samples. The described approach to forecasting the clinical event of cancer recurrence has sensitivity and specificity of 70%.