Ovarian Tissue Characterization in Ultrasound: A Review

被引:26
作者
Acharya, U. Rajendra [1 ,2 ]
Molinari, Filippo [3 ]
Sree, S. Vinitha [4 ]
Swapna, G. [5 ]
Saba, Luca [6 ]
Guerriero, Stefano [7 ]
Suri, Jasjit S. [4 ,8 ,9 ]
机构
[1] Ngee Ann Polytech, Dept Elect & Comp Engn, Singapore, Singapore
[2] Univ Malaya, Fac Engn, Dept Biomed Engn, Kuala Lumpur, Malaysia
[3] Politecn Torino, Dept Elect & Telecommun, Biolab, Turin, Italy
[4] Global Biomed Technol Inc, Point Care Devices Div, Turin, Italy
[5] Govt Engn Coll, Dept Appl Elect & Instrumentat, Kozhikode, Kerala, India
[6] Univ Cagliari, Azienda Osped, Dept Radiol, Cagliari, Italy
[7] Univ Cagliari, Osped San Giovanni Dio, Dept Obstet & Gynecol, Cagliari, Italy
[8] AtheroPoint LLC, Monitoring & Diagnost Div, Roseville, CA USA
[9] Idaho State Univ, Dept Elect Engn, Pocatello, ID 83209 USA
关键词
ovarian; tumor; malignant; classifier; feature; benign; texture; TUMOR CHARACTERIZATION; NEURAL-NETWORKS; CANCER; SYMPTOMS; CLASSIFICATION; MALIGNANCY; DIAGNOSIS; MASSES; PATTERNS; SYSTEM;
D O I
10.1177/1533034614547445
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:251 / 261
页数:11
相关论文
共 57 条
  • [1] Evolutionary Algorithm-Based Classifier Parameter Tuning for Automatic Ovarian Cancer Tissue Characterization and Classification
    Acharya, U. R.
    Mookiah, M. R. K.
    Sree, S. Vinitha
    Yanti, R.
    Martis, R. J.
    Saba, L.
    Molinari, F.
    Guerriero, S.
    Suri, J. S.
    [J]. ULTRASCHALL IN DER MEDIZIN, 2014, 35 (03): : 237 - 245
  • [2] GyneScan: An Improved Online Paradigm for Screening of Ovarian Cancer via Tissue Characterization
    Acharya, U. Rajendra
    Sree, S. Vinitha
    Kulshreshtha, Sanjeev
    Molinari, Filippo
    Koh, Joel En Wei
    Saba, Luca
    Suri, Jasjit S.
    [J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2014, 13 (06) : 529 - 539
  • [3] Ovarian Tumor Characterization and Classification Using Ultrasound-A New Online Paradigm
    Acharya, U. Rajendra
    Sree, S. Vinitha
    Saba, Luca
    Molinari, Filippo
    Guerriero, Stefano
    Suri, Jasjit S.
    [J]. JOURNAL OF DIGITAL IMAGING, 2013, 26 (03) : 544 - 553
  • [4] Ovarian Tumor Characterization using 3D Ultrasound
    Acharya, U. Rajendra
    Sree, S. Vinitha
    Krishnan, M. Muthu Rama
    Saba, Luca
    Molinari, Filippo
    Guerriero, Stefano
    Sun, Jasjit S.
    [J]. TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2012, 11 (06) : 543 - 552
  • [5] [Anonymous], 2000, Support Vector Machines and Other Kernel-based Learning Methods
  • [6] [Anonymous], 2009, SEER Cancer Statistics Review, 1975-2006
  • [7] [Anonymous], 2010, Neural Networks and Learning Machines
  • [8] [Anonymous], 2003, PRACTICAL GUIDE SUPP
  • [9] [Anonymous], WALL ST J
  • [10] [Anonymous], LECT NOTES ENG COMPU