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Developing web applications to evaluate mammography analysis algorithms

Published: 29 March 2012 Publication History

Abstract

Algorithms involving the analysis of mammograms are an important part medical image analysis, seeing continued research and innovation. A problem with this research is that some test data do not have any ground truth. Creating a medium to where experts could judge the results of these algorithms could be beneficial to finding the best algorithms and to create some form of ground truth for data. The algorithms that are tested include ones to detect the boundary line and the pectoral muscle line. Creating some form of ground truth, even if it is not exact would make results from researched algorithms that much more concrete, making the research a more valuable addition to the field.

References

[1]
Antoniou, Z. C., Giannakopoulou, G. P., Andreadis, I. I., Nikita, K. S., Ligomenides, P. A. and Spyrou, G. M. A web-accessible mammographic image database dedicated to combined training and evaluation of radiologists and machines. 2009.
[2]
Ferrari, R. J., Rangayyan, R. M., Desautels, J. E. L., Borges, R. A. and Frere, A. F. Automatic identification of the pectoral muscle in mammograms. IEEE Trans. on Medical Imaging, 23, 2 (2004), 232--245.
[3]
Heath, M., Bowyer, K., Kopans, D., Moore, R. and Kegelmeyer, P. The Digital Database for Screening Mammography. Toronto, Canada, 2000.
[4]
Karssemeijer, N. Automated classification of parenchymal patterns in mammograms. Physics in medicine and biology, 43, 2 (1998), 365--378.
[5]
Rickard, H. E., Villao, R. G. and Elmaghraby, A. S. Computational intelligence techniques for identifying the pectoral muscle region in mammograms. San Diego, CA, 2012.
[6]
Turnbull, D. Rating, voting & ranking: designing for collaboration & consensus. In Proceedings of the CHI '07 extended abstracts on Human factors in computing systems (San Jose, CA, USA, 2007). ACM, San Jose, CA, USA, 2007.
[7]
Wirtti, T. T. and Salles, E. O. T. Segmentation of masses in digital mammograms. 2011.

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      Published In

      cover image ACM Conferences
      ACMSE '12: Proceedings of the 50th annual ACM Southeast Conference
      March 2012
      424 pages
      ISBN:9781450312035
      DOI:10.1145/2184512
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 March 2012

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      Author Tags

      1. comparative web applications
      2. mammography
      3. mammography analysis algorithms

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      ACM SE '12
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      ACM SE '12: ACM Southeast Regional Conference
      March 29 - 31, 2012
      Alabama, Tuscaloosa

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      ACMSE '12 Paper Acceptance Rate 28 of 56 submissions, 50%;
      Overall Acceptance Rate 502 of 1,023 submissions, 49%

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