A genetic algorithm-based multi-objective optimization of an artificial neural network classifier for breast cancer diagnosis
The conventional technique for diagnosing the breast cancer disease relies on human experiences to identify the presence of certain pattern from the database. It is time-consuming and incurs unnecessary burden to radiologists. This work proposes a genetic algorithm-based multi-objective optimization...
| Published in: | Neural Computing and Applications |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84884812989&doi=10.1007%2fs00521-012-1092-1&partnerID=40&md5=7027fb9981864761b14ff0f39c6a35bd |