title: Ovarian tissue characterization in ultrasound: a review.
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.
authors.affiliation: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: U Rajendra
authors.initials: UR
authors.lastname: Acharya
authors.affiliation: Biolab, Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy filippo.molinari@polito.it.
authors.forename: Filippo
authors.initials: F
authors.lastname: Molinari
authors.affiliation: Point-of-Care Devices Division, Global Biomedical Technologies Inc., Roseville, CA, USA.
authors.forename: S Vinitha
authors.initials: SV
authors.lastname: Sree
authors.affiliation: Department of Applied Electronics and Instrumentation, Government Engineering College, Kozhikode, Kerala, India.
authors.forename: G
authors.initials: G
authors.lastname: Swapna
authors.affiliation: Department of Radiology, Azienda Ospedaliero Universitaria di Cagliari, Cagliari, Italy.
authors.forename: Luca
authors.initials: L
authors.lastname: Saba
authors.affiliation: Department of Obstetrics and Gynecology, University of Cagliari, Ospedale San Giovanni di Dio, Cagliari, Italy.
authors.forename: Stefano
authors.initials: S
authors.lastname: Guerriero
authors.affiliation: Point-of-Care Devices Division, Global Biomedical Technologies Inc., Roseville, CA, USA Monitoring & Diagnostic Division, AtheroPoint LLC, Roseville, CA, USA Electrical Engineering Department, Idaho State University, (Aff.), Pocatello, ID, USA.
authors.forename: Jasjit S
authors.initials: JS
authors.lastname: Suri
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D010051:Ovarian Neoplasms / Q000175:diagnosis* / Q000473:pathology*; D014465:Ultrasonics / Q000379:methods
keywords: benign; classifier; feature; malignant; ovarian; texture; tumor