Ovarian tissue characterization in ultrasound: A Review

Acharya, U.R. and Molinari, F. and Sree, S.V. and Swapna, G. and Saba, L. and Guerriero, S. and Suri, J.S. (2015) Ovarian tissue characterization in ultrasound: A Review. Technology in Cancer Research & Treatment, 14 (3). pp. 251-261. ISSN 1533-0338

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Official URL: http://www.ncbi.nlm.nih.gov/pubmed/25230716

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.

Item Type: Article
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Uncontrolled Keywords: Ovarian, tumor, malignant, classifier, feature, benign, texture, LOCAL BINARY PATTERNS, HIGHER-ORDER SPECTRA, TEXTURE CLASSIFICATION, TUMOR CHARACTERIZATION, ONLINE PARADIGM, NEURAL-NETWORKS, CANCER, MALIGNANCY, SYMPTOMS, DIAGNOSIS,
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 08 Apr 2016 02:28
Last Modified: 08 Apr 2016 02:28
URI: http://eprints.um.edu.my/id/eprint/15748

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