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Electronic Nose Ovarian Carcinoma Diagnosis Based on Machine Learning
University of Gävle, Department of Technology and Built Environment, Ämnesavdelningen för elektronik.
Department of Oncology, Sahlgrenska University Hosp. Gothenburg.
Department of Physics, Royal Institute of Technology.
Department of Computer Science, Ostfold University College, N-1757 Halden, Norway.
2009 (English)In: Advances in Data Mining: Applications and Theoretical Aspects, Berlin: Springer Berlin / Heidelberg , 2009, 13-23 p.Chapter in book (Refereed)
Place, publisher, year, edition, pages
Berlin: Springer Berlin / Heidelberg , 2009. 13-23 p.
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Other Electrical Engineering, Electronic Engineering, Information Engineering
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URN: urn:nbn:se:hig:diva-5142DOI: 10.1007/978-3-642-03067-3ISBN: 978-3-642-03066-6 (print)OAI: oai:DiVA.org:hig-5142DiVA: diva2:233169
Available from: 2009-08-28 Created: 2009-08-28 Last updated: 2011-09-25Bibliographically approved

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Chilo, José
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
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