Analisis of using neural networks for cancer diagnosis from multisensor imagery

Authors

  • Kateryna M. Malyshevska

Abstract

The problem of cervical cancer diagnosis using neural networks from multisensor imagery is investigated. The radial basis function networks and error backpropagation networks are used for the diagnosis. The results of experiments are presented.

Author Biography

Kateryna M. Malyshevska

Малишевська Катерина Миколаївна,

аспірантка Навчально-наукого комплексу «Інститут прикладного системного аналізу» НТУУ «КПІ» МОН та НАН України, Київ

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Published

2010-06-21

Issue

No. 2 (2010)

Section

Mathematical methods, models, problems and technologies for complex systems research

License

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