Methodological aspects of using decision trees to characterise leiomyomatous tumors

Cytometry

Volumn 24, Issue 1, 1996, Pages 83-92

  Decaestecker, Christine ^a   Remmelink, Myriam ^a   Salmon, Isabelle ^a   Camby, Isabelle ^a   Goldschmidt, Denis ^a   Petein, Michel ^c   Van Ham, Philippe ^b   Pasteels, Jean Lambert ^a   Kiss, Robert ^a,b  

^a ERASME HOSPITAL   (Belgium)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c JULES BORDET INSTITUTE   (Belgium)

Author keywords

Decision tree technique; Diagnosis; Digital image analysis; Hypothesis generation; Immunochemical expression; Leiomyomatous tumor; Selection of features; Tumor characterisation

Indexed keywords

ARTICLE; DECISION MAKING; HUMAN; IMAGE ANALYSIS; LEIOMYOMA; LEIOMYOSARCOMA; MATHEMATICAL MODEL; METHODOLOGY; PRIORITY JOURNAL;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ANTIGENS, NEOPLASM; CHROMATIN; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEIOMYOMA; LEIOMYOSARCOMA; MALE; MIDDLE AGED; PLOIDIES; SMOOTH MUSCLE TUMOR;

EID: 0029894979     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0320(19960501)24:1<83::AID-CYTO10>3.0.CO;2-R     Document Type: Article

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