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.
|Titolo:||Ovarian Tissue Characterization in Ultrasound: A Review|
|Data di pubblicazione:||2015|
|Digital Object Identifier (DOI):||10.1177/1533034614547445|
|Appare nelle tipologie:||1.1 Articolo in rivista|