Uveal melanoma. The importance of large nucleoli in predicting patient outcome - An Automated Image Analysis Study

Cancer

Volumn 79, Issue 5, 1997, Pages 982-988

  McLean, Ian W ^a   Sibug, Maria Elena ^a   Becker, Robert L ^a   McCurdy, Jeff B ^b  

^a ARMED FORCES INSTITUTE OF PATHOLOGY   (United States)

^b Kentucky Lions Eye Institute   (United States)

Author keywords

automated image capture and analysis; morphometry; prognosis; silver strain for nucleolar organizing regions (AgNOR); uveal melanoma

Indexed keywords

ARTICLE; AUTOMATION; CELL STRUCTURE; CHROMOSOME NOR; HUMAN; HUMAN CELL; HUMAN TISSUE; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MORPHOMETRICS; MORTALITY; NUCLEOLUS; PRIORITY JOURNAL; SILVER STAINING; UVEA MELANOMA;

AUTOMATION; CELL NUCLEUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MELANOMA; NUCLEOLUS ORGANIZER REGION; OUTCOME ASSESSMENT (HEALTH CARE); REGISTRIES; UVEAL NEOPLASMS;

EID: 0031040830     PISSN: 0008543X     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0142(19970301)79:5<982::AID-CNCR15>3.0.CO;2-Z     Document Type: Article

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