SCOPUS 정보 검색 플랫폼

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Volumn , Issue , 2009, Pages 474-477

Lesion detection and segmentation in uterine cervix images using an ARC-level mRF

(3) Alush, Amir a Greenspan, Hayit a,c Goldberger, Jacob b

a TEL AVIV UNIVERSITY (Israel)

b BAR ILAN UNIVERSITY (Israel)

c IBM ALMADEN RESEARCH CENTER (United States)

Author keywords

Lesion segmentation; Loopy BP; MRF

Indexed keywords

AUTOMATIC EXTRACTION; INPUT IMAGE; LESION DETECTION; LESION SEGMENTATION; LOOPY BELIEF PROPAGATION; LOOPY BP; MRF; OBJECT BOUNDARIES; REGION SEGMENTATION; UTERINE CERVIX; VISUAL WORD;

CAVITY RESONATORS; HIDDEN MARKOV MODELS; RANDOM PROCESSES; RANDOM VARIABLES; STRUCTURAL FRAMES; WATERSHEDS;

LANDFORMS;

EID: 70449363982 PISSN: None EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/ISBI.2009.5193087 Document Type: Conference Paper

Times cited : (9)

References (8)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.