Self-organizing maps for analyzing mammographic findings
Publication
, Journal Article
Lo, JY; Floyd, CE
Published in: IEEE International Conference on Neural Networks - Conference Proceedings
December 1, 1997
The purpose of this study is to analyze mammographic findings using self-organizing map artificial neural networks. Using two findings of patient age and mass margin extracted by radiologists, self-organizing maps were developed to analyze both the distribution and topology of the input findings. These results can help to explain the underlying nature of mammographic findings data, which may in turn help radiologists to improve breast cancer diagnosis and assist in the development of other neural networks. © 1997 IEEE.
Duke Scholars
Published In
IEEE International Conference on Neural Networks - Conference Proceedings
DOI
ISSN
1098-7576
Publication Date
December 1, 1997
Volume
4
Start / End Page
2472 / 2474
Citation
APA
Chicago
ICMJE
MLA
NLM
Lo, J. Y., & Floyd, C. E. (1997). Self-organizing maps for analyzing mammographic findings. IEEE International Conference on Neural Networks - Conference Proceedings, 4, 2472–2474. https://doi.org/10.1109/ICNN.1997.614546
Lo, J. Y., and C. E. Floyd. “Self-organizing maps for analyzing mammographic findings.” IEEE International Conference on Neural Networks - Conference Proceedings 4 (December 1, 1997): 2472–74. https://doi.org/10.1109/ICNN.1997.614546.
Lo JY, Floyd CE. Self-organizing maps for analyzing mammographic findings. IEEE International Conference on Neural Networks - Conference Proceedings. 1997 Dec 1;4:2472–4.
Lo, J. Y., and C. E. Floyd. “Self-organizing maps for analyzing mammographic findings.” IEEE International Conference on Neural Networks - Conference Proceedings, vol. 4, Dec. 1997, pp. 2472–74. Scopus, doi:10.1109/ICNN.1997.614546.
Lo JY, Floyd CE. Self-organizing maps for analyzing mammographic findings. IEEE International Conference on Neural Networks - Conference Proceedings. 1997 Dec 1;4:2472–2474.
Published In
IEEE International Conference on Neural Networks - Conference Proceedings
DOI
ISSN
1098-7576
Publication Date
December 1, 1997
Volume
4
Start / End Page
2472 / 2474