| Literature DB >> 25230716 |
U Rajendra Acharya1, Filippo Molinari2, S Vinitha Sree3, G Swapna4, Luca Saba5, Stefano Guerriero6, Jasjit S Suri7.
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.Entities:
Keywords: benign; classifier; feature; malignant; ovarian; texture; tumor
Mesh:
Year: 2014 PMID: 25230716 DOI: 10.1177/1533034614547445
Source DB: PubMed Journal: Technol Cancer Res Treat ISSN: 1533-0338