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Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms

Publication ,  Conference
Nishikawa, RM; Giger, ML; Doi, K; Vyborny, CJ; Schmidt, RA; Metz, CE; Wu, Y; Yin, FF; Jiang, Y; Huo, Z; Lu, P; Zhang, W; Ema, T; Bick, U ...
Published in: Proceedings of SPIE - The International Society for Optical Engineering
July 29, 1993

We are developing an "intelligent" workstation to assist radiologists in diagnosing breast cancer from mammograms. The hardware for the workstation will consist of a film digitizer, a high speed computer, a large volume storage device, a film printer, and 4 high resolution CRT monitors. The software for the workstation is a comprehensive package of automated detection and classification schemes. Two rule-based detection schemes have been developed, one for breast masses and the other for clustered microcalcifications. The sensitivity of both schemes is 85% with a false-positive rate of approximately 3.0 and 1.5 false detections per image, for the mass and cluster detection schemes, respectively. Computerized classification is performed by an artificial neural network (ANN). The ANN has a sensitivity of 100% with a specificity of 60%. Currently, the ANN, which is a three-layer, feed-forward network, requires as input ratings of 14 different radiographic features of the mammogram that were determined subjectively by a radiologist. We are in the process of developing automated techniques to objectively determine these 14 features. The workstation will be placed in the clinical reading area of the radiology department in the near future, where controlled clinical tests will be performed to measure its efficacy.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

Publication Date

July 29, 1993

Volume

1905

Start / End Page

422 / 432

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Nishikawa, R. M., Giger, M. L., Doi, K., Vyborny, C. J., Schmidt, R. A., Metz, C. E., … Nagel, R. H. (1993). Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 1905, pp. 422–432). https://doi.org/10.1117/12.148655
Nishikawa, R. M., M. L. Giger, K. Doi, C. J. Vyborny, R. A. Schmidt, C. E. Metz, Y. Wu, et al. “Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms.” In Proceedings of SPIE - The International Society for Optical Engineering, 1905:422–32, 1993. https://doi.org/10.1117/12.148655.
Nishikawa RM, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE, et al. Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms. In: Proceedings of SPIE - The International Society for Optical Engineering. 1993. p. 422–32.
Nishikawa, R. M., et al. “Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 1905, 1993, pp. 422–32. Scopus, doi:10.1117/12.148655.
Nishikawa RM, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE, Wu Y, Yin FF, Jiang Y, Huo Z, Lu P, Zhang W, Ema T, Bick U, Papaioannou J, Nagel RH. Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms. Proceedings of SPIE - The International Society for Optical Engineering. 1993. p. 422–432.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

Publication Date

July 29, 1993

Volume

1905

Start / End Page

422 / 432

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering