DocumentCode
623105
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
fYear
2013
fDate
29-31 May 2013
Firstpage
52
Lastpage
54
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Technologies (DT), 2013 International Conference on
Conference_Location
Zilina
Print_ISBN
978-1-4799-0923-0
Type
conf
DOI
10.1109/DT.2013.6566285
Filename
6566285
Link To Document