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

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%.

Saved in:
Bibliographic Details
Main Authors: Sprindzuk, Matvey, Konchits, Andrej, Shukelovich, Alexey, Demidchik, Yurii, Shelkovich, Svetlana, Fridman, Mikhail
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Cancer
Entropy
Image analysis
Software
Tumors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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%.
DOI:10.1109/DT.2013.6566285