title: A computational TW3 classifier for skeletal maturity assessment. A Computing with Words approach.
abstract: This paper proposes a fuzzy methodology to translate the natural language descriptions of the TW3 method for bone age assessment into an automatic classifier. The classifier is built upon a modified version of a fuzzy ID3 decision tree. No large data records are needed to train the classifier, i.e., to find out the classification rules, since the classifier is built upon rules given by the TW3 method. Only small data records are needed to fine-tune the fuzzy sets used to implement the rulebase.
authors.affiliation: Laboratorio de Procesado de Imagen, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain. sanaja@tel.uva.es
authors.forename: Santiago
authors.initials: S
authors.lastname: Aja-Fernández
authors.forename: Rodrigo
authors.initials: R
authors.lastname: De Luis-García
authors.forename: Miguel Angel
authors.initials: MA
authors.lastname: Martín-Fernández
authors.forename: Carlos
authors.initials: C
authors.lastname: Alberola-López
mesh_terms: D000293:Adolescent; D000365:Age Determination by Skeleton / Q000379:methods*; D000375:Aging / Q000502:physiology; D000465:Algorithms; D001185:Artificial Intelligence; D002648:Child; D002675:Child, Preschool; D020000:Decision Support Systems, Clinical; D005260:Female; D017143:Fuzzy Logic; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D010363:Pattern Recognition, Automated; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D011884:Radius / Q000000981:diagnostic imaging* / Q000502:physiology*