A probability-based spectroscopic diagnostic algorithm for simultaneous discrimination of brain tumor and tumor margins from normal brain tissue Article

Majumder, Shovan K, Gebhart, Steven, Johnson, Mahlon D et al. (2007). A probability-based spectroscopic diagnostic algorithm for simultaneous discrimination of brain tumor and tumor margins from normal brain tissue . APPLIED SPECTROSCOPY, 61(5), 548-557. 10.1366/000370207780807704

cited authors

  • Majumder, Shovan K; Gebhart, Steven; Johnson, Mahlon D; Thompson, Reid; Lin, Wei-Chiang; Mahadevan-Jansen, Anita

sustainable development goals

authors

publication date

  • May 1, 2007

published in

keywords

  • AUTOFLUORESCENCE SPECTRA
  • DIFFUSE-REFLECTANCE SPECTROSCOPY
  • GLIOBLASTOMA-MULTIFORME
  • GUIDED RESECTION
  • INTRAOPERATIVE DELINEATION
  • Instruments & Instrumentation
  • LASER-INDUCED FLUORESCENCE
  • MRDF
  • MULTIVARIATE STATISTICAL ALGORITHM
  • OPTICAL SPECTROSCOPY
  • PATTERN-RECOGNITION
  • SMLR
  • Science & Technology
  • Spectroscopy
  • Technology
  • VECTOR MACHINE
  • autolluorescence
  • brain tumor
  • diagnostic algorithm
  • diffuse reflectance
  • maximum representation and discrimination feature
  • multi-class classification
  • optical spectroscopy
  • posterior probability
  • sparse multinomial logistic regression
  • tumor margin

Digital Object Identifier (DOI)

publisher

  • SAGE PUBLICATIONS INC

start page

  • 548

end page

  • 557

volume

  • 61

issue

  • 5