Registration, Orientation and Edge Detection from Digital Mammogram Images

AUTHORS

Indra Kanta Maitra,B.P. PIM&T, Kolkata, West Bengal, 700052, India
Samir Kumar Bandyopadhyay,Advisor to Chancellor, JIS University, Kolkata, West Bengal 700109, India

ABSTRACT

Computer-Aided Diagnosis (CAD) systems require computational algorithms on medical images for the detection of breast cancer. This breast cancer is causing to women is the serious concern and serious diseases that were increasing day to day in death rates for women. This paper focused on the Registration, Orientation and edge detection from digital mammogram images utilizing image processing. The proposed method has been tested on all mammograms from standard mammogram database, and extensive quantitative analysis with the classical methods is done.

 

KEYWORDS

DCHEA, MDT and EDA, Registration, Views of breast

REFERENCES

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CITATION

  • APA:
    Maitra,I.K.& Bandyopadhyay,S.K.(2020). Registration, Orientation and Edge Detection from Digital Mammogram Images. International Journal of Computer Graphics, 11(1), 1-8. 10.21742/IJCG.2020.11.1.01
  • Harvard:
    Maitra,I.K., Bandyopadhyay,S.K.(2020). "Registration, Orientation and Edge Detection from Digital Mammogram Images". International Journal of Computer Graphics, 11(1), pp.1-8. doi:10.21742/IJCG.2020.11.1.01
  • IEEE:
    [1] I.K.Maitra, S.K.Bandyopadhyay, "Registration, Orientation and Edge Detection from Digital Mammogram Images". International Journal of Computer Graphics, vol.11, no.1, pp.1-8, Jul. 2020
  • MLA:
    Maitra Indra Kanta and Bandyopadhyay Samir Kumar. "Registration, Orientation and Edge Detection from Digital Mammogram Images". International Journal of Computer Graphics, vol.11, no.1, Jul. 2020, pp.1-8, doi:10.21742/IJCG.2020.11.1.01

ISSUE INFO

  • Volume 11, No. 1, 2020
  • ISSN(p):2093-9663
  • ISSN(e):2383-7284
  • Published:Jul. 2020

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