Reducing annotation cost and uncertainty in computer-aided diagnosis through selective iterative classification

  • Amelia Riely
  • , Kyle Sablan
  • , Thomas Xiaotao
  • , Jacob Furst
  • , Daniela Raicu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationMedical Imaging 2015
Subtitle of host publicationComputer-Aided Diagnosis
EditorsLubomir M. Hadjiiski, Georgia D. Tourassi
PublisherSPIE
ISBN (Electronic)9781628415049
DOIs
StatePublished - 2015
EventSPIE Medical Imaging Symposium 2015: Computer-Aided Diagnosis - Orlando, United States
Duration: Feb 22 2015Feb 25 2015

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9414
ISSN (Print)1605-7422

Conference

ConferenceSPIE Medical Imaging Symposium 2015: Computer-Aided Diagnosis
Country/TerritoryUnited States
CityOrlando
Period2/22/152/25/15

ASJC Scopus Subject Areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Keywords

  • Computer-aided diagnosis
  • Cost
  • Iterative classification
  • LIDC
  • Machine learning
  • Resource allocation
  • Selective labeling
  • Uncertain labels

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