The Infrared Spectral Signatures of Disease: Extracting the Distinguishing Spectral Features between Normal and Diseased States

Applied Spectroscopy

Volumn 63, Issue 11, 2009, Pages 307A-318A

  Diem, Max ^a   Papamarkakis, Kostas ^a   Schubert, Jennifer ^a   Bird, Benjamin ^a   Romeo, Melissa J ^a   Miljković, Miloš ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TUMOR MARKER;

ARTICLE; AUTOMATED PATTERN RECOGNITION; CHEMISTRY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; INFRARED SPECTROPHOTOMETRY; METHODOLOGY; NEOPLASM; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; TUMOR CELL CULTURE;

DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECTROPHOTOMETRY, INFRARED; TUMOR CELLS, CULTURED; TUMOR MARKERS, BIOLOGICAL;

EID: 74049148190     PISSN: 00037028     EISSN: 19433530     Source Type: Journal    
DOI: 10.1366/000370209789806894     Document Type: Note

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