مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

907
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

DISCRIMINATE OF MICROCALCIFICATION IN BREAST TISSUE WITH DIGITAL MAMMOGRAPHY: THE PRESENTATION A NEW METHOD OF PROCESSING

Pages

  185-192

Abstract

 Introduction. Techniques developed in computer and automated pattern recognition can be applied to assist radiologists in reading mammograms. With the introduction of direct DIGITAL MAMMOGRAPHY, this will become a feasible approach. A radiologist in breast cancer screening can use findings of computer as a second opinion, or as a pointer to suspicious regions. This may increase the sensitivity and specificity of  screening programs and it may avoid the need for double reading.Materials and Methods. A program for detecting micro calcification CLUSTERS has performed, which discriminates CLUSTERS from normal breast tissue. First, we eliminated amorphous "clouds" or "blobs" in mammograms produced by normal parenchyma tissue of varying density using local average subtraction. Then we identified and removed the normal breast tissue. We have applied opening morphology operator and then, closing morphology in residual image. Any micro calcification that may exist in mammogram is therefore enhanced in the residual image, which makes the decision regarding the micro calcification of mammogram be much easier. The digital images were presented to radiologists before appling algorithm and after it.Results. Results of study show that sensitivity of this method in diagnosis is 100% against conventional mammogram (85.4%).Conclusion. Our results have demonstrated that this algorithm can be an effective aid to radiologists in the detection of a range of types of micro calcification in mammograms in an environment that is similar to routine clinical screening.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    MOKHTARI DIZAJI, M.. (2001). DISCRIMINATE OF MICROCALCIFICATION IN BREAST TISSUE WITH DIGITAL MAMMOGRAPHY: THE PRESENTATION A NEW METHOD OF PROCESSING . KOOMESH, 2(3-4), 185-192. SID. https://sid.ir/paper/37428/en

    Vancouver: Copy

    MOKHTARI DIZAJI M.. DISCRIMINATE OF MICROCALCIFICATION IN BREAST TISSUE WITH DIGITAL MAMMOGRAPHY: THE PRESENTATION A NEW METHOD OF PROCESSING . KOOMESH[Internet]. 2001;2(3-4):185-192. Available from: https://sid.ir/paper/37428/en

    IEEE: Copy

    M. MOKHTARI DIZAJI, “DISCRIMINATE OF MICROCALCIFICATION IN BREAST TISSUE WITH DIGITAL MAMMOGRAPHY: THE PRESENTATION A NEW METHOD OF PROCESSING ,” KOOMESH, vol. 2, no. 3-4, pp. 185–192, 2001, [Online]. Available: https://sid.ir/paper/37428/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button