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Detection of Clustered Microcalcifications with SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial Filters

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Image Analysis and Recognition (ICIAR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5112))

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Abstract

Clustered microcalcifications (MCs) are detected in digital mammograms using SUSAN edge detector and adaptive contrast thresholding technique. MC clusters are found using spatial filters. Based on that a computer aided diagnostic prompting system is developed which achieves 97.4 % of true positive clusters at very low false positive rates according to the trial of 100 patches with the signs of both benign and malignant nature taken from the DDSM database mammograms

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References

  1. Thangavel, K., Karnan, M., Shivkumar, R., Mohideen, A.K.: Automatic Detection of Microcalcification in Mammograms-A Review. Journal on graphics, vision and image processing, GVIP-ICGST 5, 31–61 (2005)

    Google Scholar 

  2. Schiabel, H., Nunes, F.L.S., Escarpinati, M.C., Benatti, R.H.: Performance of a processing scheme for clustered microcalcifications detection with different images database. In: Engineering in Medicine and Biology Society Conference, pp. 1199–1202 (2000)

    Google Scholar 

  3. Smith, S.M., Brady, J.M.: SUSAN—A New Approach to Low Level Image Processing. Int. J. Computer Vision 23(1), 45–78 (2004)

    Article  Google Scholar 

  4. DDSM database (2002), http://marathon.csee.usf.edu/mammography/database.html

  5. Kallergi, M., Carney, G., Gaviria, J.: Evaluating the performance of detection algorithms in digital mammography. J.Medical Physics 26(2), 267–275 (1995)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Nevada, Las Vegas, 4505 Maryland Pkwy, Las Vegas, Nevada, 89154, USA

    G. Veni, E. E. Regentova & L. Zhang

Authors
  1. G. Veni
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  2. E. E. Regentova
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  3. L. Zhang
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Aurélio Campilho Mohamed Kamel

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© 2008 Springer-Verlag Berlin Heidelberg

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Veni, G., Regentova, E.E., Zhang, L. (2008). Detection of Clustered Microcalcifications with SUSAN Edge Detector, Adaptive Contrast Thresholding and Spatial Filters. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_83

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  • DOI: https://doi.org/10.1007/978-3-540-69812-8_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69811-1

  • Online ISBN: 978-3-540-69812-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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