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Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images
Abstract
A computerized scheme is being developed for the detection of masses in digital mammograms. Based on the deviation from the normal architectural symmetry of the right and left breasts, a bilateral subtraction technique is used to enhance the conspicuity of possible masses. The scheme employs two pairs of conventional screen‐film mammograms (the right and left mediolateral oblique views and craniocaudal views), which are digitized by a TV camera/Gould digitizer. The right and left breast images in each pair are aligned manually during digitization. A nonlinear bilateral subtraction technique that involves linking multiple subtracted images has been investigated and compared to a simple linear subtraction method. Various feature‐extraction techniques are used to reduce false–positive detections resulting from the bilateral subtraction. The scheme has been evaluated using 46 pairs of clinical mammograms and was found to yield a 95% true–positive rate at an average of three false–positive detections per image. This preliminary study indicates that the scheme is potentially useful as an aid to radiologists in the interpretation of screening mammograms.
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Cited by
Pisano, E. D., Zong, S., Hemminger, B. M., DeLuca, M., Johnston, R. E., Muller, K., Braeuning, M. P., & Pizer, S. M. (1998) · Journal of Digital Imaging · doi:10.1007/bf03178082 · Cited by 766
Approaches for automated detection and classification of masses in mammograms
Cheng, H. D., Shi, X. J., Min, R., Hu, L. M., Cai, X. P., & Du, H. N. (2006) · Pattern Recognition · doi:10.1016/j.patcog.2005.07.006 · Cited by 538
Current status and future potential of computer-aided diagnosis in medical imaging
Doi, K. (2005) · The British Journal of Radiology · doi:10.1259/bjr/82933343 · Cited by 444
Self-citationA review of automatic mass detection and segmentation in mammographic images
Oliver, A., Freixenet, J., Martí, J., Pérez, E., Pont, J., Denton, E. R. E., & Zwiggelaar, R. (2010) · Medical Image Analysis · doi:10.1016/j.media.2009.12.005 · Cited by 398
Giger, M. L., Chan, H., & Boone, J. (2008) · Medical Physics · doi:10.1118/1.3013555 · Cited by 311
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Metadata
- Authors
- Yin, F., Giger, M. L., Doi, K., Metz, C. E., Vyborny, C. J., & Schmidt, R. A.
- Venue
- Medical Physics
- Publisher
- Wiley
- Published
- 1991-09
- Volume
- 18
- Issue
- 5
- Pages
- 955-963
- ISSN
- 0094-2405 (ISSN-L)
- 2473-4209
- OpenAlex
- W2023392037
- Cited by
- 196
- References
- 0
- FWCI
- 4.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yin, F., Giger, M. L., Doi, K., Metz, C. E., Vyborny, C. J., & Schmidt, R. A. (1991). Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images. Medical Physics. https://doi.org/10.1118/1.596610
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