Mapping tissue optical attenuation to identify cancer using optical coherence tomography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 657-664

  McLaughlin, Robert A ^a   Scolaro, Loretta ^a   Robbins, Peter ^b   Saunders, Christobel ^a,c   Jacques, Steven L ^d   Sampson, David D ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b PathWest QEII Medical Centre   (Australia)

^c SIR CHARLES GAIRDNER HOSPITAL   (Australia)

^d OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AXILLARY LYMPH NODES; EX-VIVO; GOLD STANDARDS; HEALTHY TISSUES; LYMPH NODE; LYMPH NODE METASTASIS; LYMPHATIC SYSTEMS; OPTICAL ATTENUATION; OPTICAL COHERENCE TOMOGRAPHY; PARAMETRIC IMAGE; TISSUE TYPES;

BODY FLUIDS; COHERENT LIGHT; ELECTROMAGNETIC WAVE ATTENUATION; MEDICAL COMPUTING; TOMOGRAPHY;

OPTICAL PROPERTIES;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; LYMPH NODE; LYMPH NODE METASTASIS; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LYMPH NODES; LYMPHATIC METASTASIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 79551684557     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_80     Document Type: Conference Paper

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