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Details van artikel 107 van 129 gevonden artikelen
| Titel: |
Support Vector Machines for Brain Tumours Cells Classification |
| Auteur: |
C.M. Bentaouza M. Benyettou |
| Verschenen in: |
Journal of applied sciences |
| Paginering: | Jaargang 10 (2010) nr. 16 pagina's 1755-1761 |
| Jaar: |
2010 |
| Inhoud: |
This research is a study applied to the supervised classification of brain tumours by a method resulting from the artificial intelligence which is the Support Vector Machines. The artificial intelligence quickly moved these last decades, with the evolution of the cerebral imagery to diagnose certain diseases such as the brain tumours by techniques like magnetic resonance imagery in order to treat this disease by the surgery and microscopy to detect the type and the rank of the tumour. The results obtained by the Support Vector Machines are satisfactory from the point of view of time of learning and convergence, which have in particular tendency to learn data too much, thus providing good performances in generalization. On the other hand the Support Vector Machines give automatically a reliable result. |
| Uitgever: |
Asian Network for Scientific Information (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 107 van 129 gevonden artikelen
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