The contribution of image cytometry and artificial intelligence-related methods of numerical data analysis for adipose tumor histopathologic classification

Laboratory Investigation

Volumn 75, Issue 3, 1996, Pages 295-306

  Goldschmidt, Denis ^a   Decaestecker, Christine ^b   Berthe, Jean Valéry ^b   Gordower, Laurence ^b   Remmelink, Myriam ^a   Danguy, André ^b   Pasteels, Jean Lambert ^b   Salmon, Isabelle ^a   Kiss, Robert ^b,c  

^a ERASME HOSPITAL   (Belgium)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c FREE UNIVERSITY OF BRUSSELS   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CONCANAVALIN A; LECTIN; PEANUT AGGLUTININ; PROTEIN S 100; VIMENTIN; WHEAT GERM AGGLUTININ;

ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DECISION THEORY; DIAGNOSTIC VALUE; EXPERT SYSTEM; FEULGEN STAINING; FLOW CYTOMETRY; HISTOCHEMISTRY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; LIPOMA; LIPOSARCOMA; MICROSCOPY; PLOIDY; PRIORITY JOURNAL; TUMOR CLASSIFICATION; TUMOR DIFFERENTIATION;

EID: 0029789299     PISSN: 00236837     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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