Title :
The method for ovarian cancer recurrence prediction based on computerized lymphangiogenesis morphometry of the D2-40 stained images
Author :
Sprindzuk, Matvey ; Konchits, Andrej ; Shukelovich, Alexey ; Demidchik, Yurii ; Shelkovich, Svetlana ; Fridman, Moti
Author_Institution :
United Instutute of Inf. Problems, Belarusian Med. Acad. for Postgrad. Educ., Belarus, Belarus
Abstract :
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%.
Keywords :
cancer; computerised tomography; medical image processing; D2-40 stained image; clinical event; computerized lymphangiogenesis morphometry; image analysis; ovarian cancer recurrence prediction; ovarian cancer relapse prediction; Biomedical imaging; Cancer; Entropy; Image analysis; Software; Tumors;
Conference_Titel :
Digital Technologies (DT), 2013 International Conference on
Conference_Location :
Zilina
Print_ISBN :
978-1-4799-0923-0
DOI :
10.1109/DT.2013.6566285
