Ontology-based mammography annotation and Case-based Retrieval of breast masses

Bulu H., ALPKOÇAK A., BALCI P.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.39, sa.12, ss.11194-11202, 2012 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 39 Sayı: 12
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.eswa.2012.03.058
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.11194-11202
  • Anahtar Kelimeler: Mammography ontology, Case-based Retrieval, Ontology, SQWRL, Breast cancer
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This paper describes ontology-based annotation of mammography and a Case-based Retrieval approach for breast masses from digital mammography archive. We first present our Mammography Annotation Ontology focusing on its main concepts and relationships, as well as the annotation tool. Then, we propose a model for similarity calculation between breast masses based on their high, mid and low-level features. We use Semantic Query-enhanced Web Rule Language (SQWRL) to process retrieval of similar masses from annotated mammography collection in OWL We give both retrieving process and results we obtained from experimentations, in detail. (C) 2012 Elsevier Ltd. All rights reserved.