• DocumentCode
    2144032
  • Title

    Effectiveness of Soft Computing Techniques for Medical Imaging

  • Author

    Ahirwar, Anamika ; Jadon, Rakesh Singh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Maharana Pratap Coll. of Technol., Gwalior, India
  • fYear
    2013
  • fDate
    27-29 Sept. 2013
  • Firstpage
    336
  • Lastpage
    338
  • Abstract
    Segmentation of anatomical regions of the medical imaging is a critical problem. In this paper, we propose effectiveness of soft computing techniques for segmenting medical imaging. This paper explores the possibility of applying techniques for segmenting the regions of medical image. We them compute the effectiveness of the applied techniques on medical imaging and compare their results from the database given on the web. We tested the results to calculate the effectiveness of the techniques used for segmenting the tumor region in brain images and digital mammogram images.
  • Keywords
    fuzzy logic; image segmentation; mammography; medical image processing; neural nets; tumours; uncertainty handling; anatomical region segmentation; brain images; database; digital mammogram images; medical imaging; soft computing techniques; tumor region; Biomedical imaging; Brain; Databases; Diseases; Image segmentation; Magnetic resonance imaging; Tumors; Digital Database for Screening Mammography (DDSM); Fuzzy c-means (FCM); Glioma; Meningioma and Sarcoma; Metastatic adenocarcinoma; Metastatic bronchogenic carcinoma; Neoplastic Disease; Self Organizimg Map (SOM); confusion matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2013 5th International Conference on
  • Conference_Location
    Mathura
  • Type

    conf

  • DOI
    10.1109/CICN.2013.76
  • Filename
    6658011