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:

296
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

108
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

AUTOMATIC SPERM ANALYSIS IN MICROSCOPIC IMAGES OF HUMAN SEMEN: SEGMENTATION USING MINIMIZATION OF INFORMATION DISTANCE

Pages

  284-293

Abstract

 Introduction: The morphologic features of human sperms are key indicators for monitoring fertility problems in men. Therefore, automated analyzing methods via microscopic videos have become the most favorite policy in INFERTILITY treatment during the last decades.Materials and Methods: In the proposed method, firstly a hypothesis testing framework was defined to distinguish sperms from background. Then, some regions were selected as candidates by minimization of the information distance between the original and processed images. Finally, the correct sperms were extracted from candidates using a watershed-based algorithm.Results: The proposed, Watershed Segmentation Algorithm (WSA), Multi Structure Element Segmentation (MSES) and Dynamic Threshold Segmentation (DTS) algorithms achieve true positive rates of 96%, 84%, 81%, and 70%, respectively, versus typically 3% of false positive rate in SEMEN specimens with high density of sperms. The true positive rates of 87%, 69%, 66%, and 52%, respectively, at the same false positive rate were obtained for the SEMEN specimens with high density of sperms.Conclusion: Results show that false positive rates of the proposed algorithm were at least 8% (in the first scenario) and 32% (in the second scenario) better than other methods considering the minimum acceptable true positive rate of 90%. Furthermore, it has been shown that the proposed algorithm extracted sperms at least 12% (in the first scenario) and 18% (in the second scenario) better than other methods in presence of a typically low false positive rate equal to 3%.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    SHOJAEDINI, SEYED VAHAB, & HEYDARI, MASOUD. (2014). AUTOMATIC SPERM ANALYSIS IN MICROSCOPIC IMAGES OF HUMAN SEMEN: SEGMENTATION USING MINIMIZATION OF INFORMATION DISTANCE. IRANIAN JOURNAL OF MEDICAL PHYSICS, 11(2-3), 284-293. SID. https://sid.ir/paper/637134/en

    Vancouver: Copy

    SHOJAEDINI SEYED VAHAB, HEYDARI MASOUD. AUTOMATIC SPERM ANALYSIS IN MICROSCOPIC IMAGES OF HUMAN SEMEN: SEGMENTATION USING MINIMIZATION OF INFORMATION DISTANCE. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2014;11(2-3):284-293. Available from: https://sid.ir/paper/637134/en

    IEEE: Copy

    SEYED VAHAB SHOJAEDINI, and MASOUD HEYDARI, “AUTOMATIC SPERM ANALYSIS IN MICROSCOPIC IMAGES OF HUMAN SEMEN: SEGMENTATION USING MINIMIZATION OF INFORMATION DISTANCE,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 11, no. 2-3, pp. 284–293, 2014, [Online]. Available: https://sid.ir/paper/637134/en

    Related Journal Papers

  • No record.

    • 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