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Ovarian Tissue Characterization in Ultrasound: A Review

Authors :
Acharya, U. Rajendra
Molinari, Filippo
Sree, S. Vinitha
Swapna, G.
Saba, Luca
Guerriero, Stefano
Suri, Jasjit S.
Source :
Technology in Cancer Research & Treatment; June 2015, Vol. 14 Issue: 3 p251-261, 11p
Publication Year :
2015

Abstract

Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss different types of clinical and nonclinical features that are used to study and analyze the differences between benign and malignant ovarian tumors. Computer-aided diagnostic (CAD) systems of high accuracy are being developed as an initial test for ovarian tumor classification instead of biopsy, which is the current gold standard diagnostic test. We also discuss different aspects of developing a reliable CAD system for the automated classification of ovarian cancer into benign and malignant types. A brief description of the commonly used classifiers in ultrasound-based CAD systems is also given.

Details

Language :
English
ISSN :
15330346 and 15330338
Volume :
14
Issue :
3
Database :
Supplemental Index
Journal :
Technology in Cancer Research & Treatment
Publication Type :
Periodical
Accession number :
ejs42280304
Full Text :
https://doi.org/10.1177/1533034614547445