Breast cancer computer-aided detection system based on simple statistical features and SVM classification

被引:0
|
作者
Osman Y. [1 ]
Alqasemi U. [1 ]
机构
[1] Biomedical Engineering Program, Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah
来源
| 1600年 / Science and Information Organization卷 / 11期
关键词
Breast cancer; Clusters; Computer-aided detection systems; Features extraction; KNN; Mammogram; MIAS; ROI; SVM;
D O I
10.14569/ijacsa.2020.0110153
中图分类号
学科分类号
摘要
Computer-Aided Detection (CADe) systems are becoming very helpful and useful in supporting physicians for early detection of breast cancer. In this paper, a CADe system that is able to detect abnormal clusters in mammographic images will be implemented using different classifiers and features. The CADe system will utilize a Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as classifiers. Adopting mammographic database from Mammographic Image Analysis Society (MIAS), for training and testing, the performance of the two types of classifiers are compared in terms of sensitivity, specificity, and accuracy. The obtained values for the previous parameters show the efficiency of the CADe system to be used as a secondary screening method in detecting abnormal clusters given the Region of Interest (ROI). The best classifier is found to be SVM showed 96% accuracy, 92% sensitivity and 100% specificity. © 2013 The Science and Information (SAI) Organization.
引用
收藏
页码:430 / 433
页数:3
相关论文
共 50 条
  • [41] Breast imaging and computer-aided detection
    Hall, Ferris M.
    NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (14): : 1464 - 1466
  • [42] Does computer-aided detection assist in the early detection of breast cancer?
    Hukkinen, K
    Pamilo, M
    ACTA RADIOLOGICA, 2005, 46 (02) : 135 - 139
  • [43] Computer-aided diagnostic system for breast cancer detection based on optimized segmentation scheme and supervised algorithm
    Balaji, S.
    Arunprasath, T.
    Rajasekaran, M. Pallikonda
    Vishnuvarthanan, G.
    Sindhuja, K.
    AUTOMATIKA, 2023, 64 (04) : 1244 - 1254
  • [44] Developement Of Computer Aided System For Detection And Classification Of Mitosis Using SVM
    Amitha, H.
    Selvamani, I.
    Dhas, D. Anto Sahaya
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 954 - 958
  • [45] Association of Computer-aided Detection Results and Breast Cancer Risk
    Mirniaharikandehei, Seyedehnafiseh
    Heidari, Morteza
    Danala, Gopichandh
    Ff, Wei Qian
    Qiu, Yuchen
    Zheng, Bin
    MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, 2019, 10950
  • [46] Ipsilateral-mammogram computer-aided detection of breast cancer
    Sun, XJ
    Qian, W
    Song, DS
    COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2004, 28 (03) : 151 - 158
  • [47] Computer-Aided Detection Breast Cancer in Whole Slide Image
    Li, Chang
    Lu, Xi
    2021 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL AND ROBOTICS (ICCCR 2021), 2021, : 193 - 198
  • [48] Computer-Aided Breast Cancer Detection Using Mammograms: A Review
    El Atlas, Nadia
    El Aroussi, Mohammed
    Wahbi, Mohammed
    2014 SECOND WORLD CONFERENCE ON COMPLEX SYSTEMS (WCCS), 2014, : 626 - 631
  • [49] Computer-aided cancer detection in the UK breast screening programme
    Williams, LJ
    Prescott, RJ
    Hartswood, M
    DIGITAL MAMMOGRAPHY, 1998, 13 : 359 - 362
  • [50] Computer-aided detection system of breast masses on ultrasound imag
    Ikedo, Yuji
    Fukuoka, Daisuke
    Hara, Takeshi
    Fujita, Hiroshi
    Takada, Etsuo
    Endo, Tokiko
    Morita, Takako
    MEDICAL IMAGING 2006: IMAGE PROCESSING, PTS 1-3, 2006, 6144