Automated classification of breast pathology using local measures of broadband reflectance

Journal of Biomedical Optics

Volumn 15, Issue 6, 2010, Pages

  Laughney, Ashley M ^a   Krishnaswamy, Venkataramanan ^a   Garcia Allende, Pilar Beatriz ^b,c   Conde, Olga M ^b   Wells, Wendy A ^d   Paulsen, Keith D ^a   Pogue, Brian W ^a  

^a DARTMOUTH COLLEGE   (United States)

^b UNIVERSITY OF CANTABRIA   (Spain)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

^d DARTMOUTH HITCHCOCK MEDICAL CENTER   (United States)

Author keywords

backscattering; biomedical optics; tissues; vis NIR spectroscopy

Indexed keywords

AUTOMATED CLASSIFICATION; AUTOMATED DIAGNOSIS; BIOMEDICAL OPTICS; BREAST PATHOLOGY; BREAST TISSUES; K-NEAREST NEIGHBOR CLASSIFIER; MESOSCOPICS; MORPHOLOGICAL FEATURES; RESIDUAL DISEASE; SCATTERING RESPONSE; SENSITIVITY AND SPECIFICITY; SPOT SIZES; TECHNICAL ASPECTS; VIS-NIR SPECTROSCOPY;

DIAGNOSIS; DISEASES; HISTOLOGY; NEAR INFRARED SPECTROSCOPY; REFLECTION; TISSUE;

PATHOLOGY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; METHODOLOGY; PHOTOMETRY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; PATTERN RECOGNITION, AUTOMATED; PHOTOMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79953107219     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3516594     Document Type: Conference Paper

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