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Traditional feature engineering and deep learning approaches at medical classification task of ImageCLEF 2016

Fast facts

  • Internal authorship

    Prof. Dr.-Ing. Christoph M. Friedrich

  • Further publishers

    Sven Koitka

  • Publishment

    • 2016

  • Anthology

    Working notes of CLEF 2016 : conference and labs of the evaluation forum, Évora, Portugal, 5-8 September 2016

  • Organizational unit

    Computer science

  • Subjects

    • Computer science in general

  • Publication format

    Anthology contribution (Article)

Quote

S. Koitka and C. M. Friedrich, "Traditional feature engineering and deep learning approaches at medical classification task of ImageCLEF 2016," in Working notes of CLEF 2016 : conference and labs of the evaluation forum, Évora, Portugal, September 5-8, 2016, Aachen: Sun SITE Central Europe, 2016, pp. 304-317 [Online]. Available: http://ceur-ws.org/Vol-1609/

About the publication

Linked publications and references

http://ceur-ws.org/Vol-1609/(Opens in a new tab)

Notes and references

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