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
MeSH keywords: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 générale: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:scp/0029894979
info:pmid/8723906
VX-001641