Abstract
We Introduce a non-parametric linear decision fusion called Perceptron Average (PA) for breast cancer diagnosis. We concretely compare the accuracy between both two fusion strategies for breast cancer diagnosis, The PA fusion demonstrates a higher overall diagnostic accuracy versus the Weighted Average fusion, and the PA fusion method also exhibits a better capability of generalization when a casualty of training data sizes. Moreover, the PA fusion gains a larger area covered by its Receiver Operating Characteristic curve.
| Original language | English |
|---|---|
| Title of host publication | ICTAI 2005 |
| Subtitle of host publication | 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05 |
| Pages | 698-700 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05 - Hong Kong, China Duration: 14 Nov 2005 → 16 Nov 2005 |
Publication series
| Name | Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI |
|---|---|
| Volume | 2005 |
| ISSN (Print) | 1082-3409 |
Conference
| Conference | ICTAI 2005: 17th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'05 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 14/11/05 → 16/11/05 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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