• DocumentCode
    678469
  • Title

    Evaluation of tumor segmentation

  • Author

    Bansal, Sunny ; Mittal, Anish

  • Author_Institution
    Comput. Sci. & Eng., PEC Univ. of Technol., Chandigarh, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    X-ray images are commonly used for diagnosis because of the property that different tissues absorb X-rays differently. Detection of lytic areas using X-ray images is a challenging problem due to irregular shapes, intensity in-homogeneity and diffused boundaries. The problem has been addressed by segmenting lytic area on the basis of different cues such as intensity, density, and texture. However, the approaches based on single cue have failed to produce the desired results. In this paper, a hybrid technique has been tested to segment lytic region using X-ray images. The hybrid method has been qualitatively evaluated by taking assistance from the domain experts. The results of evaluation indicate that the hybrid approach shows better result as compared to single cue techniques.
  • Keywords
    diagnostic radiography; image segmentation; medical image processing; object detection; tumours; X-ray images; hybrid technique; lytic area detection; lytic area segmentation; single cue technique; tumor segmentation evaluation; Bones; Image segmentation; Medical diagnostic imaging; Noise; Tumors; X-ray imaging; Adaptive Threshold; DBSCAN; Fuzzy C-Means (FCM) clustering; X-ray images; tumor segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726504
  • Filename
    6726504