An intelligent medical image understanding method using two-tier neural network ensembles
Refereed conference paper presented and published in conference proceedings


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AbstractThis paper proposes an intelligent medical image understanding method using a novel two-tier artificial neural network ensembles framework to identify lung cancer cells and discriminate among different lung cancer types by analyzing the chromatic images acquired from the microscope slices of needle biopsy specimens. In this way, each neural network takes the shape and color features extracting from lung cancer cell images as the inputs and all the five possible identification results as its output. © Springer-Verlag Berlin Heidelberg 2005.
All Author(s) ListYang Y., Chen S., Zhou Z., Lin H., Ye Y.
Name of Conference18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems: Innovations in Applied Artificial Intelligence, IEA/AIE 2005
Start Date of Conference22/06/2005
End Date of Conference24/06/2005
Place of ConferenceBari
Country/Region of ConferenceItaly
Year2005
Month12
Day1
Volume Number3533 LNAI
PublisherSpringer Verlag
Place of PublicationGermany
Pages616 - 618
ISBN3540265511
ISSN0302-9743
LanguagesEnglish-United Kingdom

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