A novel and reliable computational intelligence system for breast cancer detection.
Cancer is the second important morbidity and mortality factor among women and the most incident type is breast cancer. This paper suggests a hybrid computational intelligence model based on unsupervised and supervised learning techniques, i.e., self-organizing map (SOM) and complex-valued neural net...
| Published in: | Medical & Biological Engineering & Computing Vol. 56; no. 5; pp. 721 - 733 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
May2018
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| Online Access: | View this record in EBSCOhost |