Name
Abstract | ||
|---|---|---|
The purpose of the present work is to compare three classifiers: Fisher's Linear Discriminant Analysis, Multilayer Perceptron and Support Vector Machine to diagnosis of lung nodule. These algorithms are tested on a database with 36 nodules, being 29 benigns and 7 malignants. Results show that the three algorithms had similar performance on this particular task. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11510888_28 | MLDM |
Keywords | Field | DocType |
lung nodule,similar performance,linear discriminant analysis,support vector machine,multilayer perceptron,particular task,present work | Pattern recognition,Computer science,Support vector machine,Multilayer perceptron,Artificial intelligence,Linear discriminant analysis,Artificial neural network,Machine learning,Statistical analysis | Conference |
Volume | ISSN | ISBN |
3587 | 0302-9743 | 3-540-26923-1 |
Citations | PageRank | References |
2 | 0.39 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aristofanes C. Silva | 1 | 316 | 36.48 |
| Anselmo C. Paiva | 2 | 379 | 48.88 |
| Alexandre César Muniz De Oliveira | 3 | 83 | 8.30 |