Automated identification of tumor microscopic morphology based on macroscopically measured scatter signatures

Journal of Biomedical Optics

Volumn 14, Issue 3, 2009, Pages

  Garcia Allende, Pilar Beatriz ^a   Krishnaswamy, Venkataramanan ^b   Hoopes, P Jack ^c   Samkoe, Kimberley S ^c   Conde, Olga M ^a   Pogue, Brian W ^c  

^a UNIVERSITY OF CANTABRIA   (Spain)

^b DARTMOUTH COLLEGE   (United States)

^c DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

automatic classification; confocal reflectance imaging; feature extraction; K nearest neighbor (KNN); necrosis; scatter; tumor

Indexed keywords

AUTOMATIC CLASSIFICATION; CONFOCAL REFLECTANCE IMAGING; K-NEAREST NEIGHBORS; NECROSIS; SCATTER;

ALGORITHMS; AUTOMATION; FEATURE EXTRACTION; MORPHOLOGY; REFLECTION; SCATTERING PARAMETERS;

TUMORS;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CANCER TRANSPLANTATION; CONFOCAL MICROSCOPY; CYTOCHEMISTRY; FIBROSIS; HUMAN; IMAGE PROCESSING; METHODOLOGY; MOUSE; NECROSIS; PANCREAS TUMOR; PATHOLOGY; RADIATION SCATTERING; STATISTICAL ANALYSIS;

ALGORITHMS; ANIMALS; DATA INTERPRETATION, STATISTICAL; FIBROSIS; HISTOCYTOCHEMISTRY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICE; MICROSCOPY, CONFOCAL; NECROSIS; NEOPLASM TRANSPLANTATION; PANCREATIC NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; SCATTERING, RADIATION;

EID: 70349243304     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.3155512     Document Type: Article

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