SCOPUS 정보 검색 플랫폼

Journal of Digital Imaging

Volumn 22, Issue 3, 2009, Pages 286-296

Shape priors for segmentation of the cervix region within uterine cervix images

(3) Lotenberg, Shelly a Gordon, Shiri a Greenspan, Hayit a

a TEL AVIV UNIVERSITY (Israel)

Author keywords

Boundary extraction; Image analysis; Image segmentation; Levelset function; Shape prior; Uterine cervix

Indexed keywords

ACTIVE CONTOURS; AUTOMATED ANALYSIS; AUTOMATED SYSTEMS; BOUNDARY EXTRACTION; CANCER RESEARCHES; CERVICAL CANCERS; CERVIX IMAGES; HUMAN EXPERTS; IMAGE FEATURES; LEVELSET FUNCTION; NATIONAL CANCER INSTITUTES; NATIONAL INSTITUTE OF HEALTHS; NATIONAL LIBRARY OF MEDICINES; REGION SEGMENTATIONS; SHAPE INFORMATIONS; SHAPE MODELS; SHAPE PRIOR; UTERINE CERVIX; WEB-BASED DATABASE; WORK FOCUS;

CONTENT BASED RETRIEVAL; DIGITAL IMAGE STORAGE; IMAGE ANALYSIS; IMAGE SEGMENTATION;

MILITARY PHOTOGRAPHY;

ARTICLE; AUTOMATION; CANCER RESEARCH; CLINICAL EVALUATION; DIAGNOSTIC IMAGING; DIGITAL IMAGING; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE ENHANCEMENT; IMAGE PROCESSING; PRIORITY JOURNAL; RADIODIAGNOSIS; UTERINE CERVIX; UTERINE CERVIX CANCER;

CELL COMPARTMENTATION; CERVIX UTERI; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; UTERINE CERVICAL NEOPLASMS;

EID: 67349140350 PISSN: 08971889 EISSN: 1618727X Source Type: Journal
DOI: 10.1007/s10278-008-9134-z Document Type: Article

Times cited : (13)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.