Use of hyperspectral imaging to distinguish normal, precancerous, and cancerous cells

Cancer

Volumn 114, Issue 1, 2008, Pages 13-21

  Siddiqi, Anwer M ^a   Li, Hui ^b   Faruque, Fazlay ^b   Williams, Worth ^b   Lai, Kent ^c   Hughson, Michael ^a   Bigler, Steven ^a   Beach, James ^d   Johnson, William ^b  

^a UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF MISSISSIPPI MEDICAL CENTER   (United States)

^c UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^d STENNIS SPACE CENTER   (United States)

Author keywords

Cervical cancer; Computer detection; Cytology; Dysplasia; Hyperspectral imaging; Papanicolaou test; Precancerous; Spatial algorithms; Spectral algorithms

Indexed keywords

ARTICLE; CANCER CELL; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; COST MINIMIZATION ANALYSIS; CYTOLOGY; FIBROBLAST; HEALTH CARE COST; HUMAN; HUMAN CELL; HYPERSPECTRAL IMAGING; IMAGING SYSTEM; PAPANICOLAOU TEST; PRECANCER; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY; SQUAMOUS CELL CARCINOMA; UTERINE CERVIX CARCINOMA;

ALGORITHMS; CERVICAL INTRAEPITHELIAL NEOPLASIA; CERVIX UTERI; DIAGNOSTIC IMAGING; FEMALE; HUMANS; NEOPLASMS, SQUAMOUS CELL; SENSITIVITY AND SPECIFICITY; SPECTRUM ANALYSIS; UTERINE CERVICAL DYSPLASIA; UTERINE CERVICAL NEOPLASMS; VAGINAL SMEARS;

EID: 39749088171     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.23286     Document Type: Article

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