Titre :
  • Methodological aspects of using decision trees to characterise leiomyomatous tumors.
Auteur : Decaestecker, Christine ; Remmelink, Myriam ; Salmon, Isabelle ; Camby, Isabelle ; Goldschmidt, Denis ; Petein, Michel ; Van Ham, Philippe ; Pasteels, Jean Lambert ; Kiss, Robert
Informations sur la publication : Cytometry, 24, 1, (page 83-92)
Statut de publication : Publié, 1996-05
Sujet CREF : Sciences bio-médicales et agricoles
Intelligence artificielle
Mots-clés : Decision tree technique
Diagnosis
Digital image analysis
Hypothesis generation
Immunochemical expression
Leiomyomatous tumor
Selection of features
Tumor characterisation
Mots-clés MeSH : Adolescent
Adult
Aged
Aged, 80 and over
Algorithms
Antigens, Neoplasm
Chromatin
Diagnosis, Computer-Assisted
Female
Humans
Image Processing, Computer-Assisted
Leiomyoma -- classification
Leiomyoma -- diagnosis
Leiomyosarcoma -- classification
Leiomyosarcoma -- diagnosis
Male
Middle Aged
Ploidies
Smooth Muscle Tumor -- classification
Smooth Muscle Tumor -- diagnosis
Note : Journal Article
Langue :
  • Anglais
Identificateurs : urn:issn:0196-4763 
info:doi/10.1002/(SICI)1097-0320(19960501)24:1<83::AID-CYTO10>3.0.CO;2-R
info:pii/10.1002/(SICI)1097-0320(19960501)24:1<83::AID-CYTO10>3.0.CO;2-R
info:pmid/8723906
VX-001641